文档 AWS SDK 示例 GitHub 存储库中还有更多 [S AWS DK 示例](https://github.com/awsdocs/aws-doc-sdk-examples)。
本文属于机器翻译版本。若本译文内容与英语原文存在差异，则一律以英文原文为准。
# 使用 Amazon Transcribe 的代码示例 AWS SDKs
以下代码示例向您展示了如何将 Amazon Transcribe 与 AWS 软件开发套件 (SDK) 配合使用。
*操作*是大型程序的代码摘录，必须在上下文中运行。您可以通过操作了解如何调用单个服务函数，还可以通过函数相关场景的上下文查看操作。
*场景*是向您展示如何通过在一个服务中调用多个函数或与其他 AWS 服务服务结合来完成特定任务的代码示例。
**更多资源**
+ **[Amazon Transcribe 开发人员指南](https://docs.aws.amazon.com/transcribe/latest/dg/what-is.html)**——有关 Amazon Transcribe 的更多信息。
+ **[Amazon Transcribe API 参考](https://docs.aws.amazon.com/transcribe/latest/APIReference/Welcome.html)**——有关所有可用的 Amazon Transcribe 操作的详细信息。
+ **[AWS 开发者中心](https://aws.amazon.com/developer/code-examples/?awsf.sdk-code-examples-product=product%23transcribe)** — 您可以按类别或全文搜索筛选的代码示例。
+ **[AWS SDK 示例](https://github.com/awsdocs/aws-doc-sdk-examples)** — 包含首选语言完整代码的 GitHub 存储库。包括有关设置和运行代码的说明。
**Contents**
+ [基本功能](transcribe_code_examples_basics.md)
+ [操作](transcribe_code_examples_actions.md)
+ [`CreateVocabulary`](transcribe_example_transcribe_CreateVocabulary_section.md)
+ [`DeleteMedicalTranscriptionJob`](transcribe_example_transcribe_DeleteMedicalTranscriptionJob_section.md)
+ [`DeleteTranscriptionJob`](transcribe_example_transcribe_DeleteTranscriptionJob_section.md)
+ [`DeleteVocabulary`](transcribe_example_transcribe_DeleteVocabulary_section.md)
+ [`GetTranscriptionJob`](transcribe_example_transcribe_GetTranscriptionJob_section.md)
+ [`GetVocabulary`](transcribe_example_transcribe_GetVocabulary_section.md)
+ [`ListMedicalTranscriptionJobs`](transcribe_example_transcribe_ListMedicalTranscriptionJobs_section.md)
+ [`ListTranscriptionJobs`](transcribe_example_transcribe_ListTranscriptionJobs_section.md)
+ [`ListVocabularies`](transcribe_example_transcribe_ListVocabularies_section.md)
+ [`StartMedicalTranscriptionJob`](transcribe_example_transcribe_StartMedicalTranscriptionJob_section.md)
+ [`StartTranscriptionJob`](transcribe_example_transcribe_StartTranscriptionJob_section.md)
+ [`UpdateVocabulary`](transcribe_example_transcribe_UpdateVocabulary_section.md)
+ [场景](transcribe_code_examples_scenarios.md)
+ [构建 Amazon Transcribe 流式传输应用程序](transcribe_example_cross_TranscriptionStreamingApp_section.md)
+ [将文本转换为语音以及将语音转换回文本](transcribe_example_cross_Telephone_section.md)
+ [创建和完善自定义词汇表](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
+ [转录音频并获取作业数据](transcribe_example_transcribe_Scenario_GettingStartedTranscriptionJobs_section.md)
# 使用 Amazon Transcribe 的基本示例 AWS SDKs
以下代码示例展示了如何使用 Amazon Transcribe 的基础知识。 AWS SDKs
**Contents**
+ [操作](transcribe_code_examples_actions.md)
+ [`CreateVocabulary`](transcribe_example_transcribe_CreateVocabulary_section.md)
+ [`DeleteMedicalTranscriptionJob`](transcribe_example_transcribe_DeleteMedicalTranscriptionJob_section.md)
+ [`DeleteTranscriptionJob`](transcribe_example_transcribe_DeleteTranscriptionJob_section.md)
+ [`DeleteVocabulary`](transcribe_example_transcribe_DeleteVocabulary_section.md)
+ [`GetTranscriptionJob`](transcribe_example_transcribe_GetTranscriptionJob_section.md)
+ [`GetVocabulary`](transcribe_example_transcribe_GetVocabulary_section.md)
+ [`ListMedicalTranscriptionJobs`](transcribe_example_transcribe_ListMedicalTranscriptionJobs_section.md)
+ [`ListTranscriptionJobs`](transcribe_example_transcribe_ListTranscriptionJobs_section.md)
+ [`ListVocabularies`](transcribe_example_transcribe_ListVocabularies_section.md)
+ [`StartMedicalTranscriptionJob`](transcribe_example_transcribe_StartMedicalTranscriptionJob_section.md)
+ [`StartTranscriptionJob`](transcribe_example_transcribe_StartTranscriptionJob_section.md)
+ [`UpdateVocabulary`](transcribe_example_transcribe_UpdateVocabulary_section.md)
# 使用 Amazon Transcribe 的操作 AWS SDKs
以下代码示例演示了如何使用执行单个 Amazon Transcribe 操作。 AWS SDKs每个示例都包含一个指向的链接 GitHub，您可以在其中找到有关设置和运行代码的说明。
这些代码节选调用了 Amazon Transcribe API，是必须在上下文中运行的较大型程序的代码节选。您可以在[Amazon Transcribe 使用场景 AWS SDKs](transcribe_code_examples_scenarios.md)中结合上下文查看操作。
以下示例仅包括最常用的操作。有关完整列表，请参阅 [Amazon Transcribe API 参考](https://docs.aws.amazon.com/transcribe/latest/APIReference/Welcome.html)。
**Topics**
+ [`CreateVocabulary`](transcribe_example_transcribe_CreateVocabulary_section.md)
+ [`DeleteMedicalTranscriptionJob`](transcribe_example_transcribe_DeleteMedicalTranscriptionJob_section.md)
+ [`DeleteTranscriptionJob`](transcribe_example_transcribe_DeleteTranscriptionJob_section.md)
+ [`DeleteVocabulary`](transcribe_example_transcribe_DeleteVocabulary_section.md)
+ [`GetTranscriptionJob`](transcribe_example_transcribe_GetTranscriptionJob_section.md)
+ [`GetVocabulary`](transcribe_example_transcribe_GetVocabulary_section.md)
+ [`ListMedicalTranscriptionJobs`](transcribe_example_transcribe_ListMedicalTranscriptionJobs_section.md)
+ [`ListTranscriptionJobs`](transcribe_example_transcribe_ListTranscriptionJobs_section.md)
+ [`ListVocabularies`](transcribe_example_transcribe_ListVocabularies_section.md)
+ [`StartMedicalTranscriptionJob`](transcribe_example_transcribe_StartMedicalTranscriptionJob_section.md)
+ [`StartTranscriptionJob`](transcribe_example_transcribe_StartTranscriptionJob_section.md)
+ [`UpdateVocabulary`](transcribe_example_transcribe_UpdateVocabulary_section.md)
# `CreateVocabulary`与 AWS SDK 或 CLI 配合使用
以下代码示例演示如何使用 `CreateVocabulary`。
操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+ [创建和完善自定义词汇表](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
------
#### [ .NET ]
**适用于 .NET 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
///
/// Create a custom vocabulary using a list of phrases. Custom vocabularies
/// improve transcription accuracy for one or more specific words.
///
/// The language code of the vocabulary.
/// Phrases to use in the vocabulary.
/// Name for the vocabulary.
/// The state of the custom vocabulary.
public async Task CreateCustomVocabulary(LanguageCode languageCode,
List phrases, string vocabularyName)
{
var response = await _amazonTranscribeService.CreateVocabularyAsync(
new CreateVocabularyRequest
{
LanguageCode = languageCode,
Phrases = phrases,
VocabularyName = vocabularyName
});
return response.VocabularyState;
}
```
+ 有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[CreateVocabulary](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/CreateVocabulary)*中的。
------
#### [ CLI ]
**AWS CLI**
**创建自定义词汇表**
以下 `create-vocabulary` 示例创建一个自定义词汇表。要创建自定义词汇表，您必须创建一个文本文件，其中包含要更准确地进行转录的所有术语。对于 vocabulary-file-uri，请指定该文本文件的亚马逊简单存储服务 (Amazon S3) Service URI。对于 language-code，指定与自定义词汇表的语言对应的语言代码。对于 vocabulary-name，指定所需的自定义词汇表名称。
```
aws transcribe create-vocabulary \
--language-code language-code \
--vocabulary-name cli-vocab-example \
--vocabulary-file-uri s3://amzn-s3-demo-bucket/Amazon-S3-prefix/the-text-file-for-the-custom-vocabulary.txt
```
输出：
```
{
"VocabularyName": "cli-vocab-example",
"LanguageCode": "language-code",
"VocabularyState": "PENDING"
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[自定义词汇表](https://docs.aws.amazon.com/transcribe/latest/dg/how-vocabulary.html)。**
+ 有关 API 的详细信息，请参阅*AWS CLI 命令参考[CreateVocabulary](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/create-vocabulary.html)*中的。
------
#### [ Python ]
**适用于 Python 的 SDK（Boto3）**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
def create_vocabulary(
vocabulary_name, language_code, transcribe_client, phrases=None, table_uri=None
):
"""
Creates a custom vocabulary that can be used to improve the accuracy of
transcription jobs. This function returns as soon as the vocabulary processing
is started. Call get_vocabulary to get the current status of the vocabulary.
The vocabulary is ready to use when its status is 'READY'.
:param vocabulary_name: The name of the custom vocabulary.
:param language_code: The language code of the vocabulary.
For example, en-US or nl-NL.
:param transcribe_client: The Boto3 Transcribe client.
:param phrases: A list of comma-separated phrases to include in the vocabulary.
:param table_uri: A table of phrases and pronunciation hints to include in the
vocabulary.
:return: Information about the newly created vocabulary.
"""
try:
vocab_args = {"VocabularyName": vocabulary_name, "LanguageCode": language_code}
if phrases is not None:
vocab_args["Phrases"] = phrases
elif table_uri is not None:
vocab_args["VocabularyFileUri"] = table_uri
response = transcribe_client.create_vocabulary(**vocab_args)
logger.info("Created custom vocabulary %s.", response["VocabularyName"])
except ClientError:
logger.exception("Couldn't create custom vocabulary %s.", vocabulary_name)
raise
else:
return response
```
+ 有关 API 的详细信息，请参阅适用[CreateVocabulary](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/CreateVocabulary)于 *Python 的AWS SDK (Boto3) API 参考*。
------
#### [ SAP ABAP ]
**适用于 SAP ABAP 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples)中查找完整示例，了解如何进行设置和运行。
```
TRY.
IF it_phrases IS NOT INITIAL.
oo_result = lo_tnb->createvocabulary(
iv_vocabularyname = iv_vocabulary_name
iv_languagecode = iv_language_code
it_phrases = it_phrases ).
ELSEIF iv_vocab_file_uri IS NOT INITIAL.
oo_result = lo_tnb->createvocabulary(
iv_vocabularyname = iv_vocabulary_name
iv_languagecode = iv_language_code
iv_vocabularyfileuri = iv_vocab_file_uri ).
ENDIF.
MESSAGE 'Custom vocabulary created.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
RAISE EXCEPTION lo_bad_request_ex.
CATCH /aws1/cx_tnblimitexceededex INTO DATA(lo_limit_ex).
MESSAGE lo_limit_ex TYPE 'I'.
RAISE EXCEPTION lo_limit_ex.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
CATCH /aws1/cx_tnbconflictexception INTO DATA(lo_conflict_ex).
MESSAGE lo_conflict_ex TYPE 'I'.
RAISE EXCEPTION lo_conflict_ex.
ENDTRY.
```
+ 有关 API 的详细信息，请参阅适用[CreateVocabulary](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)于 S *AP 的AWS SDK ABAP API 参考*。
------
# `DeleteMedicalTranscriptionJob`与 AWS SDK 或 CLI 配合使用
以下代码示例演示如何使用 `DeleteMedicalTranscriptionJob`。
------
#### [ .NET ]
**适用于 .NET 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
///
/// Delete a medical transcription job. Also deletes the transcript associated with the job.
///
/// Name of the medical transcription job to delete.
/// True if successful.
public async Task DeleteMedicalTranscriptionJob(string jobName)
{
var response = await _amazonTranscribeService.DeleteMedicalTranscriptionJobAsync(
new DeleteMedicalTranscriptionJobRequest()
{
MedicalTranscriptionJobName = jobName
});
return response.HttpStatusCode == HttpStatusCode.OK;
}
```
+ 有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[DeleteMedicalTranscriptionJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/DeleteMedicalTranscriptionJob)*中的。
------
#### [ CLI ]
**AWS CLI**
**删除医疗领域转录作业**
以下 `delete-medical-transcription-job` 示例删除一个医疗领域转录作业。
```
aws transcribe delete-medical-transcription-job \
--medical-transcription-job-name medical-transcription-job-name
```
此命令不生成任何输出。
有关更多信息，请参阅《*Amazon T [DeleteMedicalTranscriptionJob](https://docs.aws.amazon.com/transcribe/latest/dg/API_DeleteMedicalTranscriptionJob.html)ranscribe 开发者指南*》。
+ 有关 API 的详细信息，请参阅*AWS CLI 命令参考[DeleteMedicalTranscriptionJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/delete-medical-transcription-job.html)*中的。
------
#### [ JavaScript ]
**适用于 JavaScript (v3) 的软件开发工具包**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
创建客户端。
```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
删除医疗转录作业。
```
// Import the required AWS SDK clients and commands for Node.js
import { DeleteMedicalTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";
// Set the parameters
export const params = {
MedicalTranscriptionJobName: "MEDICAL_JOB_NAME", // For example, 'medical_transciption_demo'
};
export const run = async () => {
try {
const data = await transcribeClient.send(
new DeleteMedicalTranscriptionJobCommand(params),
);
console.log("Success - deleted");
return data; // For unit tests.
} catch (err) {
console.log("Error", err);
}
};
run();
```
+ 有关更多信息，请参阅《适用于 JavaScript 的 AWS SDK 开发人员指南》[https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-medical-examples-section.html#transcribe-delete-medical-job](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-medical-examples-section.html#transcribe-delete-medical-job)。
+ 有关 API 的详细信息，请参阅 *适用于 JavaScript 的 AWS SDK API 参考[DeleteMedicalTranscriptionJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/DeleteMedicalTranscriptionJobCommand)*中的。
------
# `DeleteTranscriptionJob`与 AWS SDK 或 CLI 配合使用
以下代码示例演示如何使用 `DeleteTranscriptionJob`。
操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+ [创建和完善自定义词汇表](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
------
#### [ .NET ]
**适用于 .NET 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
///
/// Delete a transcription job. Also deletes the transcript associated with the job.
///
/// Name of the transcription job to delete.
/// True if successful.
public async Task DeleteTranscriptionJob(string jobName)
{
var response = await _amazonTranscribeService.DeleteTranscriptionJobAsync(
new DeleteTranscriptionJobRequest()
{
TranscriptionJobName = jobName
});
return response.HttpStatusCode == HttpStatusCode.OK;
}
```
+ 有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[DeleteTranscriptionJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/DeleteTranscriptionJob)*中的。
------
#### [ CLI ]
**AWS CLI**
**删除转录作业**
以下 `delete-transcription-job` 示例删除一个转录作业。
```
aws transcribe delete-transcription-job \
--transcription-job-name your-transcription-job
```
此命令不生成任何输出。
有关更多信息，请参阅《*Amazon T [DeleteTranscriptionJob](https://docs.aws.amazon.com/transcribe/latest/dg/API_DeleteTranscriptionJob.html)ranscribe 开发者指南*》。
+ 有关 API 的详细信息，请参阅*AWS CLI 命令参考[DeleteTranscriptionJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/delete-transcription-job.html)*中的。
------
#### [ JavaScript ]
**适用于 JavaScript (v3) 的软件开发工具包**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
删除转录作业。
```
// Import the required AWS SDK clients and commands for Node.js
import { DeleteTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";
// Set the parameters
export const params = {
TranscriptionJobName: "JOB_NAME", // Required. For example, 'transciption_demo'
};
export const run = async () => {
try {
const data = await transcribeClient.send(
new DeleteTranscriptionJobCommand(params),
);
console.log("Success - deleted");
return data; // For unit tests.
} catch (err) {
console.log("Error", err);
}
};
run();
```
创建客户端。
```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
+ 有关更多信息，请参阅《适用于 JavaScript 的 AWS SDK 开发人员指南》[https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-examples-section.html#transcribe-delete-job](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-examples-section.html#transcribe-delete-job)。
+ 有关 API 的详细信息，请参阅 *适用于 JavaScript 的 AWS SDK API 参考[DeleteTranscriptionJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/DeleteTranscriptionJobCommand)*中的。
------
#### [ Python ]
**适用于 Python 的 SDK（Boto3）**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
def delete_job(job_name, transcribe_client):
"""
Deletes a transcription job. This also deletes the transcript associated with
the job.
:param job_name: The name of the job to delete.
:param transcribe_client: The Boto3 Transcribe client.
"""
try:
transcribe_client.delete_transcription_job(TranscriptionJobName=job_name)
logger.info("Deleted job %s.", job_name)
except ClientError:
logger.exception("Couldn't delete job %s.", job_name)
raise
```
+ 有关 API 的详细信息，请参阅适用[DeleteTranscriptionJob](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/DeleteTranscriptionJob)于 *Python 的AWS SDK (Boto3) API 参考*。
------
#### [ SAP ABAP ]
**适用于 SAP ABAP 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples)中查找完整示例，了解如何进行设置和运行。
```
TRY.
lo_tnb->deletetranscriptionjob( iv_job_name ).
MESSAGE 'Transcription job deleted.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
RAISE EXCEPTION lo_bad_request_ex.
CATCH /aws1/cx_tnblimitexceededex INTO DATA(lo_limit_ex).
MESSAGE lo_limit_ex TYPE 'I'.
RAISE EXCEPTION lo_limit_ex.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
ENDTRY.
```
+ 有关 API 的详细信息，请参阅适用[DeleteTranscriptionJob](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)于 S *AP 的AWS SDK ABAP API 参考*。
------
# `DeleteVocabulary`与 AWS SDK 或 CLI 配合使用
以下代码示例演示如何使用 `DeleteVocabulary`。
操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+ [创建和完善自定义词汇表](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
------
#### [ .NET ]
**适用于 .NET 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
///
/// Delete an existing custom vocabulary.
///
/// Name of the vocabulary to delete.
/// True if successful.
public async Task DeleteCustomVocabulary(string vocabularyName)
{
var response = await _amazonTranscribeService.DeleteVocabularyAsync(
new DeleteVocabularyRequest
{
VocabularyName = vocabularyName
});
return response.HttpStatusCode == HttpStatusCode.OK;
}
```
+ 有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[DeleteVocabulary](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/DeleteVocabulary)*中的。
------
#### [ CLI ]
**AWS CLI**
**删除自定义词汇表**
以下 `delete-vocabulary` 示例删除一个自定义词汇表。
```
aws transcribe delete-vocabulary \
--vocabulary-name vocabulary-name
```
此命令不生成任何输出。
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[自定义词汇表](https://docs.aws.amazon.com/transcribe/latest/dg/how-vocabulary.html)。**
+ 有关 API 的详细信息，请参阅*AWS CLI 命令参考[DeleteVocabulary](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/delete-vocabulary.html)*中的。
------
#### [ Python ]
**适用于 Python 的 SDK（Boto3）**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
def delete_vocabulary(vocabulary_name, transcribe_client):
"""
Deletes a custom vocabulary.
:param vocabulary_name: The name of the vocabulary to delete.
:param transcribe_client: The Boto3 Transcribe client.
"""
try:
transcribe_client.delete_vocabulary(VocabularyName=vocabulary_name)
logger.info("Deleted vocabulary %s.", vocabulary_name)
except ClientError:
logger.exception("Couldn't delete vocabulary %s.", vocabulary_name)
raise
```
+ 有关 API 的详细信息，请参阅适用[DeleteVocabulary](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/DeleteVocabulary)于 *Python 的AWS SDK (Boto3) API 参考*。
------
#### [ SAP ABAP ]
**适用于 SAP ABAP 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples)中查找完整示例，了解如何进行设置和运行。
```
TRY.
lo_tnb->deletevocabulary( iv_vocabulary_name ).
MESSAGE 'Vocabulary deleted.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
CATCH /aws1/cx_tnblimitexceededex INTO DATA(lo_limit_ex).
MESSAGE lo_limit_ex TYPE 'I'.
RAISE EXCEPTION lo_limit_ex.
CATCH /aws1/cx_tnbnotfoundexception INTO DATA(lo_not_found_ex).
MESSAGE lo_not_found_ex TYPE 'I'.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
ENDTRY.
```
+ 有关 API 的详细信息，请参阅适用[DeleteVocabulary](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)于 S *AP 的AWS SDK ABAP API 参考*。
------
# `GetTranscriptionJob`与 AWS SDK 或 CLI 配合使用
以下代码示例演示如何使用 `GetTranscriptionJob`。
操作示例是大型程序的代码摘录，必须在上下文中运行。您可以在以下代码示例中查看此操作的上下文：
+ [创建和完善自定义词汇表](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
+ [转录音频并获取作业数据](transcribe_example_transcribe_Scenario_GettingStartedTranscriptionJobs_section.md)
------
#### [ .NET ]
**适用于 .NET 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
///
/// Get details about a transcription job.
///
/// A unique name for the transcription job.
/// A TranscriptionJob instance with information on the requested job.
public async Task GetTranscriptionJob(string jobName)
{
var response = await _amazonTranscribeService.GetTranscriptionJobAsync(
new GetTranscriptionJobRequest()
{
TranscriptionJobName = jobName
});
return response.TranscriptionJob;
}
```
+ 有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[GetTranscriptionJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/GetTranscriptionJob)*中的。
------
#### [ CLI ]
**AWS CLI**
**获取有关特定转录作业的信息**
以下 `get-transcription-job` 示例获取有关特定转录作业的信息。要访问转录结果，请使用 TranscriptFileUri 参数。使用 MediaFileUri 参数查看您使用此作业转录了哪个音频文件。您可以使用 Settings 对象查看在转录作业中启用的可选功能。
```
aws transcribe get-transcription-job \
--transcription-job-name your-transcription-job
```
输出：
```
{
"TranscriptionJob": {
"TranscriptionJobName": "your-transcription-job",
"TranscriptionJobStatus": "COMPLETED",
"LanguageCode": "language-code",
"MediaSampleRateHertz": 48000,
"MediaFormat": "mp4",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.file-extension"
},
"Transcript": {
"TranscriptFileUri": "https://Amazon-S3-file-location-of-transcription-output"
},
"StartTime": "2020-09-18T22:27:23.970000+00:00",
"CreationTime": "2020-09-18T22:27:23.948000+00:00",
"CompletionTime": "2020-09-18T22:28:21.197000+00:00",
"Settings": {
"ChannelIdentification": false,
"ShowAlternatives": false
},
"IdentifyLanguage": true,
"IdentifiedLanguageScore": 0.8672199249267578
}
}
```
有关更多信息，请参阅《*Amazon Transcribe 开发者*指南》中的[入门（AWS 命令行界面）](https://docs.aws.amazon.com/transcribe/latest/dg/getting-started-cli.html)。
+ 有关 API 的详细信息，请参阅*AWS CLI 命令参考[GetTranscriptionJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/get-transcription-job.html)*中的。
------
#### [ Python ]
**适用于 Python 的 SDK（Boto3）**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
def get_job(job_name, transcribe_client):
"""
Gets details about a transcription job.
:param job_name: The name of the job to retrieve.
:param transcribe_client: The Boto3 Transcribe client.
:return: The retrieved transcription job.
"""
try:
response = transcribe_client.get_transcription_job(
TranscriptionJobName=job_name
)
job = response["TranscriptionJob"]
logger.info("Got job %s.", job["TranscriptionJobName"])
except ClientError:
logger.exception("Couldn't get job %s.", job_name)
raise
else:
return job
```
+ 有关 API 的详细信息，请参阅适用[GetTranscriptionJob](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/GetTranscriptionJob)于 *Python 的AWS SDK (Boto3) API 参考*。
------
#### [ SAP ABAP ]
**适用于 SAP ABAP 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples)中查找完整示例，了解如何进行设置和运行。
```
TRY.
oo_result = lo_tnb->gettranscriptionjob( iv_job_name ).
DATA(lo_job) = oo_result->get_transcriptionjob( ).
MESSAGE 'Retrieved transcription job details.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
RAISE EXCEPTION lo_bad_request_ex.
CATCH /aws1/cx_tnbnotfoundexception INTO DATA(lo_not_found_ex).
MESSAGE lo_not_found_ex TYPE 'I'.
RAISE EXCEPTION lo_not_found_ex.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
ENDTRY.
```
+ 有关 API 的详细信息，请参阅适用[GetTranscriptionJob](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)于 S *AP 的AWS SDK ABAP API 参考*。
------
# `GetVocabulary`与 AWS SDK 或 CLI 配合使用
以下代码示例演示如何使用 `GetVocabulary`。
操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+ [创建和完善自定义词汇表](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
------
#### [ .NET ]
**适用于 .NET 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
///
/// Get information about a custom vocabulary.
///
/// Name of the vocabulary.
/// The state of the custom vocabulary.
public async Task GetCustomVocabulary(string vocabularyName)
{
var response = await _amazonTranscribeService.GetVocabularyAsync(
new GetVocabularyRequest()
{
VocabularyName = vocabularyName
});
return response.VocabularyState;
}
```
+ 有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[GetVocabulary](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/GetVocabulary)*中的。
------
#### [ CLI ]
**AWS CLI**
**获取有关自定义词汇表的信息**
以下 `get-vocabulary` 示例获取有关以前创建的自定义词汇表的信息。
```
aws transcribe get-vocabulary \
--vocabulary-name cli-vocab-1
```
输出：
```
{
"VocabularyName": "cli-vocab-1",
"LanguageCode": "language-code",
"VocabularyState": "READY",
"LastModifiedTime": "2020-09-19T23:22:32.836000+00:00",
"DownloadUri": "https://link-to-download-the-text-file-used-to-create-your-custom-vocabulary"
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[自定义词汇表](https://docs.aws.amazon.com/transcribe/latest/dg/how-vocabulary.html)。**
+ 有关 API 的详细信息，请参阅*AWS CLI 命令参考[GetVocabulary](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/get-vocabulary.html)*中的。
------
#### [ Python ]
**适用于 Python 的 SDK（Boto3）**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
def get_vocabulary(vocabulary_name, transcribe_client):
"""
Gets information about a custom vocabulary.
:param vocabulary_name: The name of the vocabulary to retrieve.
:param transcribe_client: The Boto3 Transcribe client.
:return: Information about the vocabulary.
"""
try:
response = transcribe_client.get_vocabulary(VocabularyName=vocabulary_name)
logger.info("Got vocabulary %s.", response["VocabularyName"])
except ClientError:
logger.exception("Couldn't get vocabulary %s.", vocabulary_name)
raise
else:
return response
```
+ 有关 API 的详细信息，请参阅适用[GetVocabulary](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/GetVocabulary)于 *Python 的AWS SDK (Boto3) API 参考*。
------
#### [ SAP ABAP ]
**适用于 SAP ABAP 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples)中查找完整示例，了解如何进行设置和运行。
```
TRY.
oo_result = lo_tnb->getvocabulary( iv_vocabulary_name ).
MESSAGE 'Retrieved vocabulary details.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
RAISE EXCEPTION lo_bad_request_ex.
CATCH /aws1/cx_tnbnotfoundexception INTO DATA(lo_not_found_ex).
MESSAGE lo_not_found_ex TYPE 'I'.
RAISE EXCEPTION lo_not_found_ex.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
ENDTRY.
```
+ 有关 API 的详细信息，请参阅适用[GetVocabulary](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)于 S *AP 的AWS SDK ABAP API 参考*。
------
# `ListMedicalTranscriptionJobs`与 AWS SDK 或 CLI 配合使用
以下代码示例演示如何使用 `ListMedicalTranscriptionJobs`。
------
#### [ .NET ]
**适用于 .NET 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
///
/// List medical transcription jobs, optionally with a name filter.
///
/// Optional name filter for the medical transcription jobs.
/// A list of summaries about medical transcription jobs.
public async Task> ListMedicalTranscriptionJobs(
string? jobNameContains = null)
{
var response = await _amazonTranscribeService.ListMedicalTranscriptionJobsAsync(
new ListMedicalTranscriptionJobsRequest()
{
JobNameContains = jobNameContains
});
return response.MedicalTranscriptionJobSummaries;
}
```
+ 有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[ListMedicalTranscriptionJobs](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/ListMedicalTranscriptionJobs)*中的。
------
#### [ CLI ]
**AWS CLI**
**列出医疗领域转录作业**
以下`list-medical-transcription-jobs`示例列出了与您的 AWS 账户和地区相关的医疗转录作业。要获取有关特定转录作业的更多信息，请在转录输出中复制 MedicalTranscriptionJobName 参数的值，然后为命令的`MedicalTranscriptionJobName`选项指定该值。`get-medical-transcription-job`要查看更多转录作业，请复制 NextToken 参数的值，再次运行该`list-medical-transcription-jobs`命令，然后在`--next-token`选项中指定该值。
```
aws transcribe list-medical-transcription-jobs
```
输出：
```
{
"NextToken": "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",
"MedicalTranscriptionJobSummaries": [
{
"MedicalTranscriptionJobName": "vocabulary-dictation-medical-transcription-job",
"CreationTime": "2020-09-21T21:17:27.016000+00:00",
"StartTime": "2020-09-21T21:17:27.045000+00:00",
"CompletionTime": "2020-09-21T21:17:59.561000+00:00",
"LanguageCode": "en-US",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "CUSTOMER_BUCKET",
"Specialty": "PRIMARYCARE",
"Type": "DICTATION"
},
{
"MedicalTranscriptionJobName": "alternatives-dictation-medical-transcription-job",
"CreationTime": "2020-09-21T21:01:14.569000+00:00",
"StartTime": "2020-09-21T21:01:14.592000+00:00",
"CompletionTime": "2020-09-21T21:01:43.606000+00:00",
"LanguageCode": "en-US",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "CUSTOMER_BUCKET",
"Specialty": "PRIMARYCARE",
"Type": "DICTATION"
},
{
"MedicalTranscriptionJobName": "alternatives-conversation-medical-transcription-job",
"CreationTime": "2020-09-21T19:09:18.171000+00:00",
"StartTime": "2020-09-21T19:09:18.199000+00:00",
"CompletionTime": "2020-09-21T19:10:22.516000+00:00",
"LanguageCode": "en-US",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "CUSTOMER_BUCKET",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION"
},
{
"MedicalTranscriptionJobName": "speaker-id-conversation-medical-transcription-job",
"CreationTime": "2020-09-21T18:43:37.157000+00:00",
"StartTime": "2020-09-21T18:43:37.265000+00:00",
"CompletionTime": "2020-09-21T18:44:21.192000+00:00",
"LanguageCode": "en-US",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "CUSTOMER_BUCKET",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION"
},
{
"MedicalTranscriptionJobName": "multichannel-conversation-medical-transcription-job",
"CreationTime": "2020-09-20T23:46:44.053000+00:00",
"StartTime": "2020-09-20T23:46:44.081000+00:00",
"CompletionTime": "2020-09-20T23:47:35.851000+00:00",
"LanguageCode": "en-US",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "CUSTOMER_BUCKET",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION"
}
]
}
```
*有关更多信息，请参阅《亚马逊转录开发者指南》中的 https://docs.aws.amazon.com/transcribe/ latest/dg/batch-med-transcription.html>。*
+ 有关 API 的详细信息，请参阅*AWS CLI 命令参考[ListMedicalTranscriptionJobs](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/list-medical-transcription-jobs.html)*中的。
------
#### [ JavaScript ]
**适用于 JavaScript (v3) 的软件开发工具包**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
创建客户端。
```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
列出医疗转录作业。
```
// Import the required AWS SDK clients and commands for Node.js
import { StartMedicalTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";
// Set the parameters
export const params = {
MedicalTranscriptionJobName: "MEDICAL_JOB_NAME", // Required
OutputBucketName: "OUTPUT_BUCKET_NAME", // Required
Specialty: "PRIMARYCARE", // Required. Possible values are 'PRIMARYCARE'
Type: "JOB_TYPE", // Required. Possible values are 'CONVERSATION' and 'DICTATION'
LanguageCode: "LANGUAGE_CODE", // For example, 'en-US'
MediaFormat: "SOURCE_FILE_FORMAT", // For example, 'wav'
Media: {
MediaFileUri: "SOURCE_FILE_LOCATION",
// The S3 object location of the input media file. The URI must be in the same region
// as the API endpoint that you are calling.For example,
// "https://transcribe-demo.s3-REGION.amazonaws.com/hello_world.wav"
},
};
export const run = async () => {
try {
const data = await transcribeClient.send(
new StartMedicalTranscriptionJobCommand(params),
);
console.log("Success - put", data);
return data; // For unit tests.
} catch (err) {
console.log("Error", err);
}
};
run();
```
+ 有关更多信息，请参阅《适用于 JavaScript 的 AWS SDK 开发人员指南》[https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-medical-examples-section.html#transcribe-list-medical-jobs](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-medical-examples-section.html#transcribe-list-medical-jobs)。
+ 有关 API 的详细信息，请参阅 *适用于 JavaScript 的 AWS SDK API 参考[ListMedicalTranscriptionJobs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/ListMedicalTranscriptionJobsCommand)*中的。
------
# `ListTranscriptionJobs`与 AWS SDK 或 CLI 配合使用
以下代码示例演示如何使用 `ListTranscriptionJobs`。
------
#### [ .NET ]
**适用于 .NET 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
///
/// List transcription jobs, optionally with a name filter.
///
/// Optional name filter for the transcription jobs.
/// A list of transcription job summaries.
public async Task> ListTranscriptionJobs(string? jobNameContains = null)
{
var response = await _amazonTranscribeService.ListTranscriptionJobsAsync(
new ListTranscriptionJobsRequest()
{
JobNameContains = jobNameContains
});
return response.TranscriptionJobSummaries;
}
```
+ 有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[ListTranscriptionJobs](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/ListTranscriptionJobs)*中的。
------
#### [ CLI ]
**AWS CLI**
**列出转录作业**
以下`list-transcription-jobs`示例列出了与您的 AWS 账户和地区相关的转录作业。
```
aws transcribe list-transcription-jobs
```
输出：
```
{
"NextToken": "NextToken",
"TranscriptionJobSummaries": [
{
"TranscriptionJobName": "speak-id-job-1",
"CreationTime": "2020-08-17T21:06:15.391000+00:00",
"StartTime": "2020-08-17T21:06:15.416000+00:00",
"CompletionTime": "2020-08-17T21:07:05.098000+00:00",
"LanguageCode": "language-code",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "SERVICE_BUCKET"
},
{
"TranscriptionJobName": "job-1",
"CreationTime": "2020-08-17T20:50:24.207000+00:00",
"StartTime": "2020-08-17T20:50:24.230000+00:00",
"CompletionTime": "2020-08-17T20:52:18.737000+00:00",
"LanguageCode": "language-code",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "SERVICE_BUCKET"
},
{
"TranscriptionJobName": "sdk-test-job-4",
"CreationTime": "2020-08-17T20:32:27.917000+00:00",
"StartTime": "2020-08-17T20:32:27.956000+00:00",
"CompletionTime": "2020-08-17T20:33:15.126000+00:00",
"LanguageCode": "language-code",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "SERVICE_BUCKET"
},
{
"TranscriptionJobName": "Diarization-speak-id",
"CreationTime": "2020-08-10T22:10:09.066000+00:00",
"StartTime": "2020-08-10T22:10:09.116000+00:00",
"CompletionTime": "2020-08-10T22:26:48.172000+00:00",
"LanguageCode": "language-code",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "SERVICE_BUCKET"
},
{
"TranscriptionJobName": "your-transcription-job-name",
"CreationTime": "2020-07-29T17:45:09.791000+00:00",
"StartTime": "2020-07-29T17:45:09.826000+00:00",
"CompletionTime": "2020-07-29T17:46:20.831000+00:00",
"LanguageCode": "language-code",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "SERVICE_BUCKET"
}
]
}
```
有关更多信息，请参阅《*Amazon Transcribe 开发者*指南》中的[入门（AWS 命令行界面）](https://docs.aws.amazon.com/transcribe/latest/dg/getting-started-cli.html)。
+ 有关 API 的详细信息，请参阅*AWS CLI 命令参考[ListTranscriptionJobs](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/list-transcription-jobs.html)*中的。
------
#### [ Java ]
**适用于 Java 的 SDK 2.x**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
public class ListTranscriptionJobs {
public static void main(String[] args) {
TranscribeClient transcribeClient = TranscribeClient.builder()
.region(Region.US_EAST_1)
.build();
listTranscriptionJobs(transcribeClient);
}
public static void listTranscriptionJobs(TranscribeClient transcribeClient) {
ListTranscriptionJobsRequest listJobsRequest = ListTranscriptionJobsRequest.builder()
.build();
transcribeClient.listTranscriptionJobsPaginator(listJobsRequest).stream()
.flatMap(response -> response.transcriptionJobSummaries().stream())
.forEach(jobSummary -> {
System.out.println("Job Name: " + jobSummary.transcriptionJobName());
System.out.println("Job Status: " + jobSummary.transcriptionJobStatus());
System.out.println("Output Location: " + jobSummary.outputLocationType());
// Add more information as needed
// Retrieve additional details for the job if necessary
GetTranscriptionJobResponse jobDetails = transcribeClient.getTranscriptionJob(
GetTranscriptionJobRequest.builder()
.transcriptionJobName(jobSummary.transcriptionJobName())
.build());
// Display additional details
System.out.println("Language Code: " + jobDetails.transcriptionJob().languageCode());
System.out.println("Media Format: " + jobDetails.transcriptionJob().mediaFormat());
// Add more details as needed
System.out.println("--------------");
});
}
}
```
+ 有关 API 的详细信息，请参阅 *AWS SDK for Java 2.x API 参考[ListTranscriptionJobs](https://docs.aws.amazon.com/goto/SdkForJavaV2/transcribe-2017-10-26/ListTranscriptionJobs)*中的。
------
#### [ JavaScript ]
**适用于 JavaScript (v3) 的软件开发工具包**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
列出转录作业。
```
// Import the required AWS SDK clients and commands for Node.js
import { ListTranscriptionJobsCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";
// Set the parameters
export const params = {
JobNameContains: "KEYWORD", // Not required. Returns only transcription
// job names containing this string
};
export const run = async () => {
try {
const data = await transcribeClient.send(
new ListTranscriptionJobsCommand(params),
);
console.log("Success", data.TranscriptionJobSummaries);
return data; // For unit tests.
} catch (err) {
console.log("Error", err);
}
};
run();
```
创建客户端。
```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
+ 有关更多信息，请参阅《适用于 JavaScript 的 AWS SDK 开发人员指南》[https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-examples-section.html#transcribe-list-jobs](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-examples-section.html#transcribe-list-jobs)。
+ 有关 API 的详细信息，请参阅 *适用于 JavaScript 的 AWS SDK API 参考[ListTranscriptionJobs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/ListTranscriptionJobsCommand)*中的。
------
#### [ Python ]
**适用于 Python 的 SDK（Boto3）**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
def list_jobs(job_filter, transcribe_client):
"""
Lists summaries of the transcription jobs for the current AWS account.
:param job_filter: The list of returned jobs must contain this string in their
names.
:param transcribe_client: The Boto3 Transcribe client.
:return: The list of retrieved transcription job summaries.
"""
try:
response = transcribe_client.list_transcription_jobs(JobNameContains=job_filter)
jobs = response["TranscriptionJobSummaries"]
next_token = response.get("NextToken")
while next_token is not None:
response = transcribe_client.list_transcription_jobs(
JobNameContains=job_filter, NextToken=next_token
)
jobs += response["TranscriptionJobSummaries"]
next_token = response.get("NextToken")
logger.info("Got %s jobs with filter %s.", len(jobs), job_filter)
except ClientError:
logger.exception("Couldn't get jobs with filter %s.", job_filter)
raise
else:
return jobs
```
+ 有关 API 的详细信息，请参阅适用[ListTranscriptionJobs](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/ListTranscriptionJobs)于 *Python 的AWS SDK (Boto3) API 参考*。
------
#### [ SAP ABAP ]
**适用于 SAP ABAP 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples)中查找完整示例，了解如何进行设置和运行。
```
TRY.
IF iv_job_filter IS NOT INITIAL.
oo_result = lo_tnb->listtranscriptionjobs( iv_jobnamecontains = iv_job_filter ).
ELSE.
oo_result = lo_tnb->listtranscriptionjobs( ).
ENDIF.
MESSAGE 'Retrieved transcription jobs list.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
RAISE EXCEPTION lo_bad_request_ex.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
ENDTRY.
```
+ 有关 API 的详细信息，请参阅适用[ListTranscriptionJobs](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)于 S *AP 的AWS SDK ABAP API 参考*。
------
# `ListVocabularies`与 AWS SDK 或 CLI 配合使用
以下代码示例演示如何使用 `ListVocabularies`。
操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+ [创建和完善自定义词汇表](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
------
#### [ .NET ]
**适用于 .NET 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
///
/// List custom vocabularies for the current account. Optionally specify a name
/// filter and a specific state to filter the vocabularies list.
///
/// Optional string the vocabulary name must contain.
/// Optional state of the vocabulary.
/// List of information about the vocabularies.
public async Task> ListCustomVocabularies(string? nameContains = null,
VocabularyState? stateEquals = null)
{
var response = await _amazonTranscribeService.ListVocabulariesAsync(
new ListVocabulariesRequest()
{
NameContains = nameContains,
StateEquals = stateEquals
});
return response.Vocabularies;
}
```
+ 有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[ListVocabularies](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/ListVocabularies)*中的。
------
#### [ CLI ]
**AWS CLI**
**列出自定义词汇表**
以下`list-vocabularies`示例列出了与您的 AWS 账户和地区关联的自定义词汇表。
```
aws transcribe list-vocabularies
```
输出：
```
{
"NextToken": "NextToken",
"Vocabularies": [
{
"VocabularyName": "ards-test-1",
"LanguageCode": "language-code",
"LastModifiedTime": "2020-04-27T22:00:27.330000+00:00",
"VocabularyState": "READY"
},
{
"VocabularyName": "sample-test",
"LanguageCode": "language-code",
"LastModifiedTime": "2020-04-24T23:04:11.044000+00:00",
"VocabularyState": "READY"
},
{
"VocabularyName": "CRLF-to-LF-test-3-1",
"LanguageCode": "language-code",
"LastModifiedTime": "2020-04-24T22:12:22.277000+00:00",
"VocabularyState": "READY"
},
{
"VocabularyName": "CRLF-to-LF-test-2",
"LanguageCode": "language-code",
"LastModifiedTime": "2020-04-24T21:53:50.455000+00:00",
"VocabularyState": "READY"
},
{
"VocabularyName": "CRLF-to-LF-1-1",
"LanguageCode": "language-code",
"LastModifiedTime": "2020-04-24T21:39:33.356000+00:00",
"VocabularyState": "READY"
}
]
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[自定义词汇表](https://docs.aws.amazon.com/transcribe/latest/dg/how-vocabulary.html)。**
+ 有关 API 的详细信息，请参阅*AWS CLI 命令参考[ListVocabularies](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/list-vocabularies.html)*中的。
------
#### [ Python ]
**适用于 Python 的 SDK（Boto3）**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
def list_vocabularies(vocabulary_filter, transcribe_client):
"""
Lists the custom vocabularies created for this AWS account.
:param vocabulary_filter: The returned vocabularies must contain this string in
their names.
:param transcribe_client: The Boto3 Transcribe client.
:return: The list of retrieved vocabularies.
"""
try:
response = transcribe_client.list_vocabularies(NameContains=vocabulary_filter)
vocabs = response["Vocabularies"]
next_token = response.get("NextToken")
while next_token is not None:
response = transcribe_client.list_vocabularies(
NameContains=vocabulary_filter, NextToken=next_token
)
vocabs += response["Vocabularies"]
next_token = response.get("NextToken")
logger.info(
"Got %s vocabularies with filter %s.", len(vocabs), vocabulary_filter
)
except ClientError:
logger.exception(
"Couldn't list vocabularies with filter %s.", vocabulary_filter
)
raise
else:
return vocabs
```
+ 有关 API 的详细信息，请参阅适用[ListVocabularies](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/ListVocabularies)于 *Python 的AWS SDK (Boto3) API 参考*。
------
#### [ SAP ABAP ]
**适用于 SAP ABAP 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples)中查找完整示例，了解如何进行设置和运行。
```
TRY.
IF iv_vocab_filter IS NOT INITIAL.
oo_result = lo_tnb->listvocabularies( iv_namecontains = iv_vocab_filter ).
ELSE.
oo_result = lo_tnb->listvocabularies( ).
ENDIF.
MESSAGE 'Retrieved vocabularies list.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
RAISE EXCEPTION lo_bad_request_ex.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
ENDTRY.
```
+ 有关 API 的详细信息，请参阅适用[ListVocabularies](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)于 S *AP 的AWS SDK ABAP API 参考*。
------
# `StartMedicalTranscriptionJob`与 AWS SDK 或 CLI 配合使用
以下代码示例演示如何使用 `StartMedicalTranscriptionJob`。
------
#### [ .NET ]
**适用于 .NET 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
///
/// Start a medical transcription job for a media file. This method returns
/// as soon as the job is started.
///
/// A unique name for the medical transcription job.
/// The URI of the media file, typically an Amazon S3 location.
/// The format of the media file.
/// Location for the output, typically an Amazon S3 location.
/// Conversation or dictation transcription type.
/// A MedicalTransactionJob instance with information on the new job.
public async Task StartMedicalTranscriptionJob(
string jobName, string mediaFileUri,
MediaFormat mediaFormat, string outputBucketName, Amazon.TranscribeService.Type transcriptionType)
{
var response = await _amazonTranscribeService.StartMedicalTranscriptionJobAsync(
new StartMedicalTranscriptionJobRequest()
{
MedicalTranscriptionJobName = jobName,
Media = new Media()
{
MediaFileUri = mediaFileUri
},
MediaFormat = mediaFormat,
LanguageCode =
LanguageCode
.EnUS, // The value must be en-US for medical transcriptions.
OutputBucketName = outputBucketName,
OutputKey =
jobName, // The value is a key used to fetch the output of the transcription.
Specialty = Specialty.PRIMARYCARE, // The value PRIMARYCARE must be set.
Type = transcriptionType
});
return response.MedicalTranscriptionJob;
}
```
+ 有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[StartMedicalTranscriptionJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/StartMedicalTranscriptionJob)*中的。
------
#### [ CLI ]
**AWS CLI**
**示例 1：转录存储为音频文件的医疗口述**
以下 `start-medical-transcription-job` 示例转录一个音频文件。您可以在 `OutputBucketName` 参数中指定转录输出位置。
```
aws transcribe start-medical-transcription-job \
--cli-input-json file://myfile.json
```
`myfile.json` 的内容：
```
{
"MedicalTranscriptionJobName": "simple-dictation-medical-transcription-job",
"LanguageCode": "language-code",
"Specialty": "PRIMARYCARE",
"Type": "DICTATION",
"OutputBucketName":"amzn-s3-demo-bucket",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
}
}
```
输出：
```
{
"MedicalTranscriptionJob": {
"MedicalTranscriptionJobName": "simple-dictation-medical-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"StartTime": "2020-09-20T00:35:22.256000+00:00",
"CreationTime": "2020-09-20T00:35:22.218000+00:00",
"Specialty": "PRIMARYCARE",
"Type": "DICTATION"
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[批量转录概述](https://docs.aws.amazon.com/transcribe/latest/dg/batch-med-transcription.html)。**
**示例 2：转录存储为音频文件的临床医生与患者之间的对话**
以下 `start-medical-transcription-job` 示例转录包含有临床医生与患者之间对话的音频文件。您可以在 OutputBucketName 参数中指定转录输出的位置。
```
aws transcribe start-medical-transcription-job \
--cli-input-json file://mysecondfile.json
```
`mysecondfile.json` 的内容：
```
{
"MedicalTranscriptionJobName": "simple-dictation-medical-transcription-job",
"LanguageCode": "language-code",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION",
"OutputBucketName":"amzn-s3-demo-bucket",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
}
}
```
输出：
```
{
"MedicalTranscriptionJob": {
"MedicalTranscriptionJobName": "simple-conversation-medical-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"StartTime": "2020-09-20T23:19:49.965000+00:00",
"CreationTime": "2020-09-20T23:19:49.941000+00:00",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION"
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[批量转录概述](https://docs.aws.amazon.com/transcribe/latest/dg/batch-med-transcription.html)。**
**示例 3：转录临床医生与患者之间对话的多声道音频文件**
以下 `start-medical-transcription-job` 示例转录音频文件中每个声道的音频，并将每个声道的单独转录合并为一个转录输出。您可以在 `OutputBucketName` 参数中指定转录输出位置。
```
aws transcribe start-medical-transcription-job \
--cli-input-json file://mythirdfile.json
```
`mythirdfile.json` 的内容：
```
{
"MedicalTranscriptionJobName": "multichannel-conversation-medical-transcription-job",
"LanguageCode": "language-code",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION",
"OutputBucketName":"amzn-s3-demo-bucket",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"Settings":{
"ChannelIdentification": true
}
}
```
输出：
```
{
"MedicalTranscriptionJob": {
"MedicalTranscriptionJobName": "multichannel-conversation-medical-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"StartTime": "2020-09-20T23:46:44.081000+00:00",
"CreationTime": "2020-09-20T23:46:44.053000+00:00",
"Settings": {
"ChannelIdentification": true
},
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION"
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[声道识别](https://docs.aws.amazon.com/transcribe/latest/dg/how-channel-id-med.html)。**
**示例 4：转录临床医生与患者之间对话的音频文件并在转录输出中识别发言者**
以下 `start-medical-transcription-job` 示例转录一个音频文件，并在转录输出中标记每个发言者的语音。您可以在 `OutputBucketName` 参数中指定转录输出位置。
```
aws transcribe start-medical-transcription-job \
--cli-input-json file://myfourthfile.json
```
`myfourthfile.json` 的内容：
```
{
"MedicalTranscriptionJobName": "speaker-id-conversation-medical-transcription-job",
"LanguageCode": "language-code",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION",
"OutputBucketName":"amzn-s3-demo-bucket",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"Settings":{
"ShowSpeakerLabels": true,
"MaxSpeakerLabels": 2
}
}
```
输出：
```
{
"MedicalTranscriptionJob": {
"MedicalTranscriptionJobName": "speaker-id-conversation-medical-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"StartTime": "2020-09-21T18:43:37.265000+00:00",
"CreationTime": "2020-09-21T18:43:37.157000+00:00",
"Settings": {
"ShowSpeakerLabels": true,
"MaxSpeakerLabels": 2
},
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION"
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[识别发言者](https://docs.aws.amazon.com/transcribe/latest/dg/diarization-med.html)。**
**示例 5：转录存储为音频文件的医疗对话，最多两个备选转录**
以下 `start-medical-transcription-job` 示例通过单个音频文件创建最多两个备选转录。每个转录具有关联的置信度。默认情况下，Amazon Transcribe 返回置信度最高的转录。您可以指定 Amazon Transcribe 返回置信度较低的其他转录。您可以在 `OutputBucketName` 参数中指定转录输出位置。
```
aws transcribe start-medical-transcription-job \
--cli-input-json file://myfifthfile.json
```
`myfifthfile.json` 的内容：
```
{
"MedicalTranscriptionJobName": "alternatives-conversation-medical-transcription-job",
"LanguageCode": "language-code",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION",
"OutputBucketName":"amzn-s3-demo-bucket",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"Settings":{
"ShowAlternatives": true,
"MaxAlternatives": 2
}
}
```
输出：
```
{
"MedicalTranscriptionJob": {
"MedicalTranscriptionJobName": "alternatives-conversation-medical-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"StartTime": "2020-09-21T19:09:18.199000+00:00",
"CreationTime": "2020-09-21T19:09:18.171000+00:00",
"Settings": {
"ShowAlternatives": true,
"MaxAlternatives": 2
},
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION"
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[备选转录](https://docs.aws.amazon.com/transcribe/latest/dg/how-alternatives-med.html)。**
**示例 6：转录医疗口述音频文件，最多具有两个备选转录**
以下 `start-medical-transcription-job` 示例转录一个音频文件，并使用词汇表过滤器屏蔽任何不需要的单词。您可以在 OutputBucketName 参数中指定转录输出的位置。
```
aws transcribe start-medical-transcription-job \
--cli-input-json file://mysixthfile.json
```
`mysixthfile.json` 的内容：
```
{
"MedicalTranscriptionJobName": "alternatives-conversation-medical-transcription-job",
"LanguageCode": "language-code",
"Specialty": "PRIMARYCARE",
"Type": "DICTATION",
"OutputBucketName":"amzn-s3-demo-bucket",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"Settings":{
"ShowAlternatives": true,
"MaxAlternatives": 2
}
}
```
输出：
```
{
"MedicalTranscriptionJob": {
"MedicalTranscriptionJobName": "alternatives-dictation-medical-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"StartTime": "2020-09-21T21:01:14.592000+00:00",
"CreationTime": "2020-09-21T21:01:14.569000+00:00",
"Settings": {
"ShowAlternatives": true,
"MaxAlternatives": 2
},
"Specialty": "PRIMARYCARE",
"Type": "DICTATION"
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[备选转录](https://docs.aws.amazon.com/transcribe/latest/dg/how-alternatives-med.html)。**
**示例 7：使用自定义词汇表更准确地转录医疗口述音频文件**
以下 `start-medical-transcription-job` 示例转录一个音频文件，并使用您以前创建的医学自定义词汇表提高转录准确性。您可以在 `OutputBucketName` 参数中指定转录输出位置。
```
aws transcribe start-transcription-job \
--cli-input-json file://myseventhfile.json
```
`mysixthfile.json` 的内容：
```
{
"MedicalTranscriptionJobName": "vocabulary-dictation-medical-transcription-job",
"LanguageCode": "language-code",
"Specialty": "PRIMARYCARE",
"Type": "DICTATION",
"OutputBucketName":"amzn-s3-demo-bucket",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"Settings":{
"VocabularyName": "cli-medical-vocab-1"
}
}
```
输出：
```
{
"MedicalTranscriptionJob": {
"MedicalTranscriptionJobName": "vocabulary-dictation-medical-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"StartTime": "2020-09-21T21:17:27.045000+00:00",
"CreationTime": "2020-09-21T21:17:27.016000+00:00",
"Settings": {
"VocabularyName": "cli-medical-vocab-1"
},
"Specialty": "PRIMARYCARE",
"Type": "DICTATION"
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[医疗自定义词汇表](https://docs.aws.amazon.com/transcribe/latest/dg/how-vocabulary-med.html)。**
+ 有关 API 的详细信息，请参阅*AWS CLI 命令参考[StartMedicalTranscriptionJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/start-medical-transcription-job.html)*中的。
------
#### [ JavaScript ]
**适用于 JavaScript (v3) 的软件开发工具包**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
创建客户端。
```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
启动医疗转录作业。
```
// Import the required AWS SDK clients and commands for Node.js
import { StartMedicalTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";
// Set the parameters
export const params = {
MedicalTranscriptionJobName: "MEDICAL_JOB_NAME", // Required
OutputBucketName: "OUTPUT_BUCKET_NAME", // Required
Specialty: "PRIMARYCARE", // Required. Possible values are 'PRIMARYCARE'
Type: "JOB_TYPE", // Required. Possible values are 'CONVERSATION' and 'DICTATION'
LanguageCode: "LANGUAGE_CODE", // For example, 'en-US'
MediaFormat: "SOURCE_FILE_FORMAT", // For example, 'wav'
Media: {
MediaFileUri: "SOURCE_FILE_LOCATION",
// The S3 object location of the input media file. The URI must be in the same region
// as the API endpoint that you are calling.For example,
// "https://transcribe-demo.s3-REGION.amazonaws.com/hello_world.wav"
},
};
export const run = async () => {
try {
const data = await transcribeClient.send(
new StartMedicalTranscriptionJobCommand(params),
);
console.log("Success - put", data);
return data; // For unit tests.
} catch (err) {
console.log("Error", err);
}
};
run();
```
+ 有关更多信息，请参阅《适用于 JavaScript 的 AWS SDK 开发人员指南》[https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-medical-examples-section.html#transcribe-start-medical-transcription](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-medical-examples-section.html#transcribe-start-medical-transcription)。
+ 有关 API 的详细信息，请参阅 *适用于 JavaScript 的 AWS SDK API 参考[StartMedicalTranscriptionJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/StartMedicalTranscriptionJobCommand)*中的。
------
# `StartTranscriptionJob`与 AWS SDK 或 CLI 配合使用
以下代码示例演示如何使用 `StartTranscriptionJob`。
操作示例是大型程序的代码摘录，必须在上下文中运行。您可以在以下代码示例中查看此操作的上下文：
+ [创建和完善自定义词汇表](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
+ [转录音频并获取作业数据](transcribe_example_transcribe_Scenario_GettingStartedTranscriptionJobs_section.md)
------
#### [ .NET ]
**适用于 .NET 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
///
/// Start a transcription job for a media file. This method returns
/// as soon as the job is started.
///
/// A unique name for the transcription job.
/// The URI of the media file, typically an Amazon S3 location.
/// The format of the media file.
/// The language code of the media file, such as en-US.
/// Optional name of a custom vocabulary.
/// A TranscriptionJob instance with information on the new job.
public async Task StartTranscriptionJob(string jobName, string mediaFileUri,
MediaFormat mediaFormat, LanguageCode languageCode, string? vocabularyName)
{
var response = await _amazonTranscribeService.StartTranscriptionJobAsync(
new StartTranscriptionJobRequest()
{
TranscriptionJobName = jobName,
Media = new Media()
{
MediaFileUri = mediaFileUri
},
MediaFormat = mediaFormat,
LanguageCode = languageCode,
Settings = vocabularyName != null ? new Settings()
{
VocabularyName = vocabularyName
} : null
});
return response.TranscriptionJob;
}
```
+ 有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[StartTranscriptionJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/StartTranscriptionJob)*中的。
------
#### [ CLI ]
**AWS CLI**
**示例 1：转录音频文件**
以下 `start-transcription-job` 示例转录音频文件。
```
aws transcribe start-transcription-job \
--cli-input-json file://myfile.json
```
`myfile.json` 的内容：
```
{
"TranscriptionJobName": "cli-simple-transcription-job",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
}
}
```
有关更多信息，请参阅《*Amazon Transcribe 开发者*指南》中的[入门（AWS 命令行界面）](https://docs.aws.amazon.com/transcribe/latest/dg/getting-started-cli.html)。
**示例 2：转录多声道音频文件**
以下 `start-transcription-job` 示例转录多声道音频文件。
```
aws transcribe start-transcription-job \
--cli-input-json file://mysecondfile.json
```
`mysecondfile.json` 的内容：
```
{
"TranscriptionJobName": "cli-channelid-job",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"Settings":{
"ChannelIdentification":true
}
}
```
输出：
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-channelid-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"StartTime": "2020-09-17T16:07:56.817000+00:00",
"CreationTime": "2020-09-17T16:07:56.784000+00:00",
"Settings": {
"ChannelIdentification": true
}
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[转录多声道音频](https://docs.aws.amazon.com/transcribe/latest/dg/channel-id.html)。**
**示例 3：转录音频文件并识别不同的发言者**
以下 `start-transcription-job` 示例转录音频文件，并在转录输出中识别发言者。
```
aws transcribe start-transcription-job \
--cli-input-json file://mythirdfile.json
```
`mythirdfile.json` 的内容：
```
{
"TranscriptionJobName": "cli-speakerid-job",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"Settings":{
"ShowSpeakerLabels": true,
"MaxSpeakerLabels": 2
}
}
```
输出：
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-speakerid-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"StartTime": "2020-09-17T16:22:59.696000+00:00",
"CreationTime": "2020-09-17T16:22:59.676000+00:00",
"Settings": {
"ShowSpeakerLabels": true,
"MaxSpeakerLabels": 2
}
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[识别发言者](https://docs.aws.amazon.com/transcribe/latest/dg/diarization.html)。**
**示例 4：转录音频文件并在转录输出中屏蔽任何不需要的单词**
以下 `start-transcription-job` 示例转录音频文件，并使用您以前创建的词汇表过滤器屏蔽任何不需要的单词。
```
aws transcribe start-transcription-job \
--cli-input-json file://myfourthfile.json
```
`myfourthfile.json` 的内容：
```
{
"TranscriptionJobName": "cli-filter-mask-job",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"Settings":{
"VocabularyFilterName": "your-vocabulary-filter",
"VocabularyFilterMethod": "mask"
}
}
```
输出：
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-filter-mask-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://Amazon-S3-Prefix/your-media-file.file-extension"
},
"StartTime": "2020-09-18T16:36:18.568000+00:00",
"CreationTime": "2020-09-18T16:36:18.547000+00:00",
"Settings": {
"VocabularyFilterName": "your-vocabulary-filter",
"VocabularyFilterMethod": "mask"
}
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[过滤转录](https://docs.aws.amazon.com/transcribe/latest/dg/filter-transcriptions.html)。**
**示例 5：转录音频文件并在转录输出中删除任何不需要的单词**
以下 `start-transcription-job` 示例转录音频文件，并使用您以前创建的词汇表过滤器屏蔽任何不需要的单词。
```
aws transcribe start-transcription-job \
--cli-input-json file://myfifthfile.json
```
`myfifthfile.json` 的内容：
```
{
"TranscriptionJobName": "cli-filter-remove-job",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"Settings":{
"VocabularyFilterName": "your-vocabulary-filter",
"VocabularyFilterMethod": "remove"
}
}
```
输出：
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-filter-remove-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"StartTime": "2020-09-18T16:36:18.568000+00:00",
"CreationTime": "2020-09-18T16:36:18.547000+00:00",
"Settings": {
"VocabularyFilterName": "your-vocabulary-filter",
"VocabularyFilterMethod": "remove"
}
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[过滤转录](https://docs.aws.amazon.com/transcribe/latest/dg/filter-transcriptions.html)。**
**示例 6：使用自定义词汇表更准确地转录音频文件**
以下 `start-transcription-job` 示例转录音频文件，并使用您以前创建的词汇表过滤器屏蔽任何不需要的单词。
```
aws transcribe start-transcription-job \
--cli-input-json file://mysixthfile.json
```
`mysixthfile.json` 的内容：
```
{
"TranscriptionJobName": "cli-vocab-job",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"Settings":{
"VocabularyName": "your-vocabulary"
}
}
```
输出：
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-vocab-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"StartTime": "2020-09-18T16:36:18.568000+00:00",
"CreationTime": "2020-09-18T16:36:18.547000+00:00",
"Settings": {
"VocabularyName": "your-vocabulary"
}
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[过滤转录](https://docs.aws.amazon.com/transcribe/latest/dg/filter-transcriptions.html)。**
**示例 7：识别音频文件语言并转录该文件**
以下 `start-transcription-job` 示例转录音频文件，并使用您以前创建的词汇表过滤器屏蔽任何不需要的单词。
```
aws transcribe start-transcription-job \
--cli-input-json file://myseventhfile.json
```
`myseventhfile.json` 的内容：
```
{
"TranscriptionJobName": "cli-identify-language-transcription-job",
"IdentifyLanguage": true,
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
}
}
```
输出：
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-identify-language-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"StartTime": "2020-09-18T22:27:23.970000+00:00",
"CreationTime": "2020-09-18T22:27:23.948000+00:00",
"IdentifyLanguage": true
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[识别语言](https://docs.aws.amazon.com/transcribe/latest/dg/auto-lang-id.html)。**
**示例 8：转录音频文件并编辑个人身份信息**
以下 `start-transcription-job` 示例转录音频文件，并在转录输出中编辑任何个人身份信息。
```
aws transcribe start-transcription-job \
--cli-input-json file://myeighthfile.json
```
`myeigthfile.json` 的内容：
```
{
"TranscriptionJobName": "cli-redaction-job",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://Amazon-S3-Prefix/your-media-file.file-extension"
},
"ContentRedaction": {
"RedactionOutput":"redacted",
"RedactionType":"PII"
}
}
```
输出：
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-redaction-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://Amazon-S3-Prefix/your-media-file.file-extension"
},
"StartTime": "2020-09-25T23:49:13.195000+00:00",
"CreationTime": "2020-09-25T23:49:13.176000+00:00",
"ContentRedaction": {
"RedactionType": "PII",
"RedactionOutput": "redacted"
}
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[自动内容编辑](https://docs.aws.amazon.com/transcribe/latest/dg/content-redaction.html)。**
**示例 9：生成个人身份信息 (PII) 经过编辑和未经过编辑的转录**
以下 `start-transcription-job` 示例生成两个音频文件转录，一个转录中的个人身份信息经过编辑，另一个转录没有进行任何编辑。
```
aws transcribe start-transcription-job \
--cli-input-json file://myninthfile.json
```
`myninthfile.json` 的内容：
```
{
"TranscriptionJobName": "cli-redaction-job-with-unredacted-transcript",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://Amazon-S3-Prefix/your-media-file.file-extension"
},
"ContentRedaction": {
"RedactionOutput":"redacted_and_unredacted",
"RedactionType":"PII"
}
}
```
输出：
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-redaction-job-with-unredacted-transcript",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://Amazon-S3-Prefix/your-media-file.file-extension"
},
"StartTime": "2020-09-25T23:59:47.677000+00:00",
"CreationTime": "2020-09-25T23:59:47.653000+00:00",
"ContentRedaction": {
"RedactionType": "PII",
"RedactionOutput": "redacted_and_unredacted"
}
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[自动内容编辑](https://docs.aws.amazon.com/transcribe/latest/dg/content-redaction.html)。**
**示例 10：使用您以前创建的自定义语言模型转录音频文件**
以下 `start-transcription-job` 示例使用您以前创建的自定义语言模型转录音频文件。
```
aws transcribe start-transcription-job \
--cli-input-json file://mytenthfile.json
```
`mytenthfile.json` 的内容：
```
{
"TranscriptionJobName": "cli-clm-2-job-1",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.file-extension"
},
"ModelSettings": {
"LanguageModelName":"cli-clm-2"
}
}
```
输出：
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-clm-2-job-1",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.file-extension"
},
"StartTime": "2020-09-28T17:56:01.835000+00:00",
"CreationTime": "2020-09-28T17:56:01.801000+00:00",
"ModelSettings": {
"LanguageModelName": "cli-clm-2"
}
}
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[使用自定义语言模型提高特定领域的转录准确性](https://docs.aws.amazon.com/transcribe/latest/dg/custom-language-models.html)。**
+ 有关 API 的详细信息，请参阅*AWS CLI 命令参考[StartTranscriptionJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/start-transcription-job.html)*中的。
------
#### [ JavaScript ]
**适用于 JavaScript (v3) 的软件开发工具包**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
启动转录作业。
```
// Import the required AWS SDK clients and commands for Node.js
import { StartTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";
// Set the parameters
export const params = {
TranscriptionJobName: "JOB_NAME",
LanguageCode: "LANGUAGE_CODE", // For example, 'en-US'
MediaFormat: "SOURCE_FILE_FORMAT", // For example, 'wav'
Media: {
MediaFileUri: "SOURCE_LOCATION",
// For example, "https://transcribe-demo.s3-REGION.amazonaws.com/hello_world.wav"
},
OutputBucketName: "OUTPUT_BUCKET_NAME",
};
export const run = async () => {
try {
const data = await transcribeClient.send(
new StartTranscriptionJobCommand(params),
);
console.log("Success - put", data);
return data; // For unit tests.
} catch (err) {
console.log("Error", err);
}
};
run();
```
创建客户端。
```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
+ 有关更多信息，请参阅《适用于 JavaScript 的 AWS SDK 开发人员指南》[https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-examples-section.html#transcribe-start-transcription](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-examples-section.html#transcribe-start-transcription)。
+ 有关 API 的详细信息，请参阅 *适用于 JavaScript 的 AWS SDK API 参考[StartTranscriptionJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/StartTranscriptionJobCommand)*中的。
------
#### [ Python ]
**适用于 Python 的 SDK（Boto3）**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
def start_job(
job_name,
media_uri,
media_format,
language_code,
transcribe_client,
vocabulary_name=None,
):
"""
Starts a transcription job. This function returns as soon as the job is started.
To get the current status of the job, call get_transcription_job. The job is
successfully completed when the job status is 'COMPLETED'.
:param job_name: The name of the transcription job. This must be unique for
your AWS account.
:param media_uri: The URI where the audio file is stored. This is typically
in an Amazon S3 bucket.
:param media_format: The format of the audio file. For example, mp3 or wav.
:param language_code: The language code of the audio file.
For example, en-US or ja-JP
:param transcribe_client: The Boto3 Transcribe client.
:param vocabulary_name: The name of a custom vocabulary to use when transcribing
the audio file.
:return: Data about the job.
"""
try:
job_args = {
"TranscriptionJobName": job_name,
"Media": {"MediaFileUri": media_uri},
"MediaFormat": media_format,
"LanguageCode": language_code,
}
if vocabulary_name is not None:
job_args["Settings"] = {"VocabularyName": vocabulary_name}
response = transcribe_client.start_transcription_job(**job_args)
job = response["TranscriptionJob"]
logger.info("Started transcription job %s.", job_name)
except ClientError:
logger.exception("Couldn't start transcription job %s.", job_name)
raise
else:
return job
```
+ 有关 API 的详细信息，请参阅适用[StartTranscriptionJob](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/StartTranscriptionJob)于 *Python 的AWS SDK (Boto3) API 参考*。
------
#### [ SAP ABAP ]
**适用于 SAP ABAP 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples)中查找完整示例，了解如何进行设置和运行。
```
TRY.
DATA(lo_media) = NEW /aws1/cl_tnbmedia( iv_mediafileuri = iv_media_uri ).
DATA(lo_settings) = NEW /aws1/cl_tnbsettings( ).
IF iv_vocabulary_name IS NOT INITIAL.
lo_settings = NEW /aws1/cl_tnbsettings( iv_vocabularyname = iv_vocabulary_name ).
ENDIF.
oo_result = lo_tnb->starttranscriptionjob(
iv_transcriptionjobname = iv_job_name
io_media = lo_media
iv_mediaformat = iv_media_format
iv_languagecode = iv_language_code
io_settings = lo_settings ).
MESSAGE 'Transcription job started.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
RAISE EXCEPTION lo_bad_request_ex.
CATCH /aws1/cx_tnblimitexceededex INTO DATA(lo_limit_ex).
MESSAGE lo_limit_ex TYPE 'I'.
RAISE EXCEPTION lo_limit_ex.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
CATCH /aws1/cx_tnbconflictexception INTO DATA(lo_conflict_ex).
MESSAGE lo_conflict_ex TYPE 'I'.
RAISE EXCEPTION lo_conflict_ex.
ENDTRY.
```
+ 有关 API 的详细信息，请参阅适用[StartTranscriptionJob](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)于 S *AP 的AWS SDK ABAP API 参考*。
------
# `UpdateVocabulary`与 AWS SDK 或 CLI 配合使用
以下代码示例演示如何使用 `UpdateVocabulary`。
操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+ [创建和完善自定义词汇表](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
------
#### [ .NET ]
**适用于 .NET 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
///
/// Update a custom vocabulary with new values. Update overwrites all existing information.
///
/// The language code of the vocabulary.
/// Phrases to use in the vocabulary.
/// Name for the vocabulary.
/// The state of the custom vocabulary.
public async Task UpdateCustomVocabulary(LanguageCode languageCode,
List phrases, string vocabularyName)
{
var response = await _amazonTranscribeService.UpdateVocabularyAsync(
new UpdateVocabularyRequest()
{
LanguageCode = languageCode,
Phrases = phrases,
VocabularyName = vocabularyName
});
return response.VocabularyState;
}
```
+ 有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[UpdateVocabulary](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/UpdateVocabulary)*中的。
------
#### [ CLI ]
**AWS CLI**
**使用新术语更新自定义词汇表。**
以下 `update-vocabulary` 示例使用您提供的新术语来覆盖用于创建自定义词汇表的术语。先决条件：要替换自定义词汇表中的术语，您需要使用一个包含新术语的文件。
```
aws transcribe update-vocabulary \
--vocabulary-file-uri s3://amzn-s3-demo-bucket/Amazon-S3-Prefix/custom-vocabulary.txt \
--vocabulary-name custom-vocabulary \
--language-code language-code
```
输出：
```
{
"VocabularyName": "custom-vocabulary",
"LanguageCode": "language",
"VocabularyState": "PENDING"
}
```
有关更多信息，请参阅《Amazon Transcribe 开发人员指南》中的[自定义词汇表](https://docs.aws.amazon.com/transcribe/latest/dg/how-vocabulary.html)。**
+ 有关 API 的详细信息，请参阅*AWS CLI 命令参考[UpdateVocabulary](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/update-vocabulary.html)*中的。
------
#### [ Python ]
**适用于 Python 的 SDK（Boto3）**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
def update_vocabulary(
vocabulary_name, language_code, transcribe_client, phrases=None, table_uri=None
):
"""
Updates an existing custom vocabulary. The entire vocabulary is replaced with
the contents of the update.
:param vocabulary_name: The name of the vocabulary to update.
:param language_code: The language code of the vocabulary.
:param transcribe_client: The Boto3 Transcribe client.
:param phrases: A list of comma-separated phrases to include in the vocabulary.
:param table_uri: A table of phrases and pronunciation hints to include in the
vocabulary.
"""
try:
vocab_args = {"VocabularyName": vocabulary_name, "LanguageCode": language_code}
if phrases is not None:
vocab_args["Phrases"] = phrases
elif table_uri is not None:
vocab_args["VocabularyFileUri"] = table_uri
response = transcribe_client.update_vocabulary(**vocab_args)
logger.info("Updated custom vocabulary %s.", response["VocabularyName"])
except ClientError:
logger.exception("Couldn't update custom vocabulary %s.", vocabulary_name)
raise
```
+ 有关 API 的详细信息，请参阅适用[UpdateVocabulary](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/UpdateVocabulary)于 *Python 的AWS SDK (Boto3) API 参考*。
------
#### [ SAP ABAP ]
**适用于 SAP ABAP 的 SDK**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples)中查找完整示例，了解如何进行设置和运行。
```
TRY.
IF it_phrases IS NOT INITIAL.
oo_result = lo_tnb->updatevocabulary(
iv_vocabularyname = iv_vocabulary_name
iv_languagecode = iv_language_code
it_phrases = it_phrases ).
ELSEIF iv_vocab_file_uri IS NOT INITIAL.
oo_result = lo_tnb->updatevocabulary(
iv_vocabularyname = iv_vocabulary_name
iv_languagecode = iv_language_code
iv_vocabularyfileuri = iv_vocab_file_uri ).
ENDIF.
MESSAGE 'Vocabulary updated.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
CATCH /aws1/cx_tnblimitexceededex INTO DATA(lo_limit_ex).
MESSAGE lo_limit_ex TYPE 'I'.
RAISE EXCEPTION lo_limit_ex.
CATCH /aws1/cx_tnbnotfoundexception INTO DATA(lo_not_found_ex).
MESSAGE lo_not_found_ex TYPE 'I'.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
CATCH /aws1/cx_tnbconflictexception INTO DATA(lo_conflict_ex).
MESSAGE lo_conflict_ex TYPE 'I'.
RAISE EXCEPTION lo_conflict_ex.
ENDTRY.
```
+ 有关 API 的详细信息，请参阅适用[UpdateVocabulary](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)于 S *AP 的AWS SDK ABAP API 参考*。
------
# Amazon Transcribe 使用场景 AWS SDKs
以下代码示例向您展示了如何使用在 Amazon Transcribe 中实现常见场景。 AWS SDKs这些场景向您展示了如何通过调用 Amazon Transcribe 中的多个函数或与其他 AWS 服务结合来完成特定任务。每个场景都包含完整源代码的链接，您可以在其中找到有关如何设置和运行代码的说明。
场景以中等水平的经验为目标，可帮助您结合具体环境了解服务操作。
**Topics**
+ [构建 Amazon Transcribe 流式传输应用程序](transcribe_example_cross_TranscriptionStreamingApp_section.md)
+ [将文本转换为语音以及将语音转换回文本](transcribe_example_cross_Telephone_section.md)
+ [创建和完善自定义词汇表](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
+ [转录音频并获取作业数据](transcribe_example_transcribe_Scenario_GettingStartedTranscriptionJobs_section.md)
# 构建 Amazon Transcribe 流式传输应用程序
以下代码示例展示如何构建可实时录制、转录与翻译实时音频，并通过电子邮件发送结果的应用程序。
------
#### [ JavaScript ]
**适用于 JavaScript (v3) 的软件开发工具包**
演示了如何使用 Amazon Transcribe 构建可实时录制、转录与翻译实时音频，并通过 Amazon Simple Email Service (Amazon SES) 以电子邮件发送结果的应用程序。
有关如何设置和运行的完整源代码和说明，请参阅上的完整示例[GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/transcribe-streaming-app)。
**本示例中使用的服务**
+ Amazon Comprehend
+ Amazon SES
+ Amazon Transcribe
+ Amazon Translate
------
# 使用 AWS SDK 将文本转换为语音并转换回文本
以下代码示例展示了如何：
+ 使用 Amazon Polly 将纯文本 (UTF-8) 输入文件合成为音频文件。
+ 将音频文件上传到 Amazon S3 存储桶。
+ 使用 Amazon Transcribe 将音频文件转换为文本。
+ 显示文本。
------
#### [ Rust ]
**适用于 Rust 的 SDK**
使用 Amazon Polly 将纯文本（UTF-8）输入文件合成为音频文件，将音频文件上传到 Amazon S3 存储桶，使用 Amazon Transcribe 将该音频文件转换为文本，然后显示文本。
有关如何设置和运行的完整源代码和说明，请参阅上的完整示例[GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/main/rustv1/cross_service#code-examples)。
**本示例中使用的服务**
+ Amazon Polly
+ Amazon S3
+ Amazon Transcribe
------
# 使用软件开发工具包创建和完善 Amazon Transcribe 自定义词汇表 AWS
以下代码示例展示了如何：
+ 将音频文件上传到 Amazon S3。
+ 运行 Amazon Transcribe 作业来转录文件并获取结果。
+ 创建和完善自定义词汇表，以提高转录的准确性。
+ 使用自定义词汇表运行任务并获得结果。
------
#### [ Python ]
**适用于 Python 的 SDK（Boto3）**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
转录朗读 Lewis Carroll 的《Jabberwocky》的音频文件。首先创建封装 Amazon Transcribe 操作的函数。
```
def start_job(
job_name,
media_uri,
media_format,
language_code,
transcribe_client,
vocabulary_name=None,
):
"""
Starts a transcription job. This function returns as soon as the job is started.
To get the current status of the job, call get_transcription_job. The job is
successfully completed when the job status is 'COMPLETED'.
:param job_name: The name of the transcription job. This must be unique for
your AWS account.
:param media_uri: The URI where the audio file is stored. This is typically
in an Amazon S3 bucket.
:param media_format: The format of the audio file. For example, mp3 or wav.
:param language_code: The language code of the audio file.
For example, en-US or ja-JP
:param transcribe_client: The Boto3 Transcribe client.
:param vocabulary_name: The name of a custom vocabulary to use when transcribing
the audio file.
:return: Data about the job.
"""
try:
job_args = {
"TranscriptionJobName": job_name,
"Media": {"MediaFileUri": media_uri},
"MediaFormat": media_format,
"LanguageCode": language_code,
}
if vocabulary_name is not None:
job_args["Settings"] = {"VocabularyName": vocabulary_name}
response = transcribe_client.start_transcription_job(**job_args)
job = response["TranscriptionJob"]
logger.info("Started transcription job %s.", job_name)
except ClientError:
logger.exception("Couldn't start transcription job %s.", job_name)
raise
else:
return job
def get_job(job_name, transcribe_client):
"""
Gets details about a transcription job.
:param job_name: The name of the job to retrieve.
:param transcribe_client: The Boto3 Transcribe client.
:return: The retrieved transcription job.
"""
try:
response = transcribe_client.get_transcription_job(
TranscriptionJobName=job_name
)
job = response["TranscriptionJob"]
logger.info("Got job %s.", job["TranscriptionJobName"])
except ClientError:
logger.exception("Couldn't get job %s.", job_name)
raise
else:
return job
def delete_job(job_name, transcribe_client):
"""
Deletes a transcription job. This also deletes the transcript associated with
the job.
:param job_name: The name of the job to delete.
:param transcribe_client: The Boto3 Transcribe client.
"""
try:
transcribe_client.delete_transcription_job(TranscriptionJobName=job_name)
logger.info("Deleted job %s.", job_name)
except ClientError:
logger.exception("Couldn't delete job %s.", job_name)
raise
def create_vocabulary(
vocabulary_name, language_code, transcribe_client, phrases=None, table_uri=None
):
"""
Creates a custom vocabulary that can be used to improve the accuracy of
transcription jobs. This function returns as soon as the vocabulary processing
is started. Call get_vocabulary to get the current status of the vocabulary.
The vocabulary is ready to use when its status is 'READY'.
:param vocabulary_name: The name of the custom vocabulary.
:param language_code: The language code of the vocabulary.
For example, en-US or nl-NL.
:param transcribe_client: The Boto3 Transcribe client.
:param phrases: A list of comma-separated phrases to include in the vocabulary.
:param table_uri: A table of phrases and pronunciation hints to include in the
vocabulary.
:return: Information about the newly created vocabulary.
"""
try:
vocab_args = {"VocabularyName": vocabulary_name, "LanguageCode": language_code}
if phrases is not None:
vocab_args["Phrases"] = phrases
elif table_uri is not None:
vocab_args["VocabularyFileUri"] = table_uri
response = transcribe_client.create_vocabulary(**vocab_args)
logger.info("Created custom vocabulary %s.", response["VocabularyName"])
except ClientError:
logger.exception("Couldn't create custom vocabulary %s.", vocabulary_name)
raise
else:
return response
def get_vocabulary(vocabulary_name, transcribe_client):
"""
Gets information about a custom vocabulary.
:param vocabulary_name: The name of the vocabulary to retrieve.
:param transcribe_client: The Boto3 Transcribe client.
:return: Information about the vocabulary.
"""
try:
response = transcribe_client.get_vocabulary(VocabularyName=vocabulary_name)
logger.info("Got vocabulary %s.", response["VocabularyName"])
except ClientError:
logger.exception("Couldn't get vocabulary %s.", vocabulary_name)
raise
else:
return response
def update_vocabulary(
vocabulary_name, language_code, transcribe_client, phrases=None, table_uri=None
):
"""
Updates an existing custom vocabulary. The entire vocabulary is replaced with
the contents of the update.
:param vocabulary_name: The name of the vocabulary to update.
:param language_code: The language code of the vocabulary.
:param transcribe_client: The Boto3 Transcribe client.
:param phrases: A list of comma-separated phrases to include in the vocabulary.
:param table_uri: A table of phrases and pronunciation hints to include in the
vocabulary.
"""
try:
vocab_args = {"VocabularyName": vocabulary_name, "LanguageCode": language_code}
if phrases is not None:
vocab_args["Phrases"] = phrases
elif table_uri is not None:
vocab_args["VocabularyFileUri"] = table_uri
response = transcribe_client.update_vocabulary(**vocab_args)
logger.info("Updated custom vocabulary %s.", response["VocabularyName"])
except ClientError:
logger.exception("Couldn't update custom vocabulary %s.", vocabulary_name)
raise
def list_vocabularies(vocabulary_filter, transcribe_client):
"""
Lists the custom vocabularies created for this AWS account.
:param vocabulary_filter: The returned vocabularies must contain this string in
their names.
:param transcribe_client: The Boto3 Transcribe client.
:return: The list of retrieved vocabularies.
"""
try:
response = transcribe_client.list_vocabularies(NameContains=vocabulary_filter)
vocabs = response["Vocabularies"]
next_token = response.get("NextToken")
while next_token is not None:
response = transcribe_client.list_vocabularies(
NameContains=vocabulary_filter, NextToken=next_token
)
vocabs += response["Vocabularies"]
next_token = response.get("NextToken")
logger.info(
"Got %s vocabularies with filter %s.", len(vocabs), vocabulary_filter
)
except ClientError:
logger.exception(
"Couldn't list vocabularies with filter %s.", vocabulary_filter
)
raise
else:
return vocabs
def delete_vocabulary(vocabulary_name, transcribe_client):
"""
Deletes a custom vocabulary.
:param vocabulary_name: The name of the vocabulary to delete.
:param transcribe_client: The Boto3 Transcribe client.
"""
try:
transcribe_client.delete_vocabulary(VocabularyName=vocabulary_name)
logger.info("Deleted vocabulary %s.", vocabulary_name)
except ClientError:
logger.exception("Couldn't delete vocabulary %s.", vocabulary_name)
raise
```
调用包装器函数在没有自定义词汇表的情况下转录音频，然后使用不同版本的自定义词汇表来查看改进的结果。
```
def usage_demo():
"""Shows how to use the Amazon Transcribe service."""
logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s")
s3_resource = boto3.resource("s3")
transcribe_client = boto3.client("transcribe")
print("-" * 88)
print("Welcome to the Amazon Transcribe demo!")
print("-" * 88)
bucket_name = f"jabber-bucket-{time.time_ns()}"
print(f"Creating bucket {bucket_name}.")
bucket = s3_resource.create_bucket(
Bucket=bucket_name,
CreateBucketConfiguration={
"LocationConstraint": transcribe_client.meta.region_name
},
)
media_file_name = ".media/Jabberwocky.mp3"
media_object_key = "Jabberwocky.mp3"
print(f"Uploading media file {media_file_name}.")
bucket.upload_file(media_file_name, media_object_key)
media_uri = f"s3://{bucket.name}/{media_object_key}"
job_name_simple = f"Jabber-{time.time_ns()}"
print(f"Starting transcription job {job_name_simple}.")
start_job(
job_name_simple,
f"s3://{bucket_name}/{media_object_key}",
"mp3",
"en-US",
transcribe_client,
)
transcribe_waiter = TranscribeCompleteWaiter(transcribe_client)
transcribe_waiter.wait(job_name_simple)
job_simple = get_job(job_name_simple, transcribe_client)
transcript_simple = requests.get(
job_simple["Transcript"]["TranscriptFileUri"]
).json()
print(f"Transcript for job {transcript_simple['jobName']}:")
print(transcript_simple["results"]["transcripts"][0]["transcript"])
print("-" * 88)
print(
"Creating a custom vocabulary that lists the nonsense words to try to "
"improve the transcription."
)
vocabulary_name = f"Jabber-vocabulary-{time.time_ns()}"
create_vocabulary(
vocabulary_name,
"en-US",
transcribe_client,
phrases=[
"brillig",
"slithy",
"borogoves",
"mome",
"raths",
"Jub-Jub",
"frumious",
"manxome",
"Tumtum",
"uffish",
"whiffling",
"tulgey",
"thou",
"frabjous",
"callooh",
"callay",
"chortled",
],
)
vocabulary_ready_waiter = VocabularyReadyWaiter(transcribe_client)
vocabulary_ready_waiter.wait(vocabulary_name)
job_name_vocabulary_list = f"Jabber-vocabulary-list-{time.time_ns()}"
print(f"Starting transcription job {job_name_vocabulary_list}.")
start_job(
job_name_vocabulary_list,
media_uri,
"mp3",
"en-US",
transcribe_client,
vocabulary_name,
)
transcribe_waiter.wait(job_name_vocabulary_list)
job_vocabulary_list = get_job(job_name_vocabulary_list, transcribe_client)
transcript_vocabulary_list = requests.get(
job_vocabulary_list["Transcript"]["TranscriptFileUri"]
).json()
print(f"Transcript for job {transcript_vocabulary_list['jobName']}:")
print(transcript_vocabulary_list["results"]["transcripts"][0]["transcript"])
print("-" * 88)
print(
"Updating the custom vocabulary with table data that provides additional "
"pronunciation hints."
)
table_vocab_file = "jabber-vocabulary-table.txt"
bucket.upload_file(table_vocab_file, table_vocab_file)
update_vocabulary(
vocabulary_name,
"en-US",
transcribe_client,
table_uri=f"s3://{bucket.name}/{table_vocab_file}",
)
vocabulary_ready_waiter.wait(vocabulary_name)
job_name_vocab_table = f"Jabber-vocab-table-{time.time_ns()}"
print(f"Starting transcription job {job_name_vocab_table}.")
start_job(
job_name_vocab_table,
media_uri,
"mp3",
"en-US",
transcribe_client,
vocabulary_name=vocabulary_name,
)
transcribe_waiter.wait(job_name_vocab_table)
job_vocab_table = get_job(job_name_vocab_table, transcribe_client)
transcript_vocab_table = requests.get(
job_vocab_table["Transcript"]["TranscriptFileUri"]
).json()
print(f"Transcript for job {transcript_vocab_table['jobName']}:")
print(transcript_vocab_table["results"]["transcripts"][0]["transcript"])
print("-" * 88)
print("Getting data for jobs and vocabularies.")
jabber_jobs = list_jobs("Jabber", transcribe_client)
print(f"Found {len(jabber_jobs)} jobs:")
for job_sum in jabber_jobs:
job = get_job(job_sum["TranscriptionJobName"], transcribe_client)
print(
f"\t{job['TranscriptionJobName']}, {job['Media']['MediaFileUri']}, "
f"{job['Settings'].get('VocabularyName')}"
)
jabber_vocabs = list_vocabularies("Jabber", transcribe_client)
print(f"Found {len(jabber_vocabs)} vocabularies:")
for vocab_sum in jabber_vocabs:
vocab = get_vocabulary(vocab_sum["VocabularyName"], transcribe_client)
vocab_content = requests.get(vocab["DownloadUri"]).text
print(f"\t{vocab['VocabularyName']} contents:")
print(vocab_content)
print("-" * 88)
print("Deleting demo jobs.")
for job_name in [job_name_simple, job_name_vocabulary_list, job_name_vocab_table]:
delete_job(job_name, transcribe_client)
print("Deleting demo vocabulary.")
delete_vocabulary(vocabulary_name, transcribe_client)
print("Deleting demo bucket.")
bucket.objects.delete()
bucket.delete()
print("Thanks for watching!")
```
+ 有关 API 详细信息，请参阅《AWS SDK for Python (Boto3) API Reference》**中的以下主题。
+ [CreateVocabulary](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/CreateVocabulary)
+ [DeleteTranscriptionJob](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/DeleteTranscriptionJob)
+ [DeleteVocabulary](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/DeleteVocabulary)
+ [GetTranscriptionJob](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/GetTranscriptionJob)
+ [GetVocabulary](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/GetVocabulary)
+ [ListVocabularies](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/ListVocabularies)
+ [StartTranscriptionJob](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/StartTranscriptionJob)
+ [UpdateVocabulary](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/UpdateVocabulary)
------
# 使用软件开发工具包使用 Amazon Transcribe 转录音频并获取工作数据 AWS
以下代码示例演示了如何：
+ 使用 Amazon Transcribe 开始转录作业。
+ 等待作业完成。
+ 获取存储转录的 URI。
有关更多信息，请参阅 [Amazon Transcribe 入门](https://docs.aws.amazon.com/transcribe/latest/dg/getting-started.html)。
------
#### [ Java ]
**适用于 Java 的 SDK 2.x**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
转录 PCM 文件。
```
/**
* To run this AWS code example, ensure that you have set up your development
* environment, including your AWS credentials.
*
* For information, see this documentation topic:
*
* https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
*/
public class TranscribeStreamingDemoFile {
private static final Region REGION = Region.US_EAST_1;
private static TranscribeStreamingAsyncClient client;
public static void main(String args[]) throws ExecutionException, InterruptedException {
final String USAGE = "\n" +
"Usage:\n" +
" \n\n" +
"Where:\n" +
" file - the location of a PCM file to transcribe. In this example, ensure the PCM file is 16 hertz (Hz). \n";
if (args.length != 1) {
System.out.println(USAGE);
System.exit(1);
}
String file = args[0];
client = TranscribeStreamingAsyncClient.builder()
.region(REGION)
.build();
CompletableFuture result = client.startStreamTranscription(getRequest(16_000),
new AudioStreamPublisher(getStreamFromFile(file)),
getResponseHandler());
result.get();
client.close();
}
private static InputStream getStreamFromFile(String file) {
try {
File inputFile = new File(file);
InputStream audioStream = new FileInputStream(inputFile);
return audioStream;
} catch (FileNotFoundException e) {
throw new RuntimeException(e);
}
}
private static StartStreamTranscriptionRequest getRequest(Integer mediaSampleRateHertz) {
return StartStreamTranscriptionRequest.builder()
.languageCode(LanguageCode.EN_US)
.mediaEncoding(MediaEncoding.PCM)
.mediaSampleRateHertz(mediaSampleRateHertz)
.build();
}
private static StartStreamTranscriptionResponseHandler getResponseHandler() {
return StartStreamTranscriptionResponseHandler.builder()
.onResponse(r -> {
System.out.println("Received Initial response");
})
.onError(e -> {
System.out.println(e.getMessage());
StringWriter sw = new StringWriter();
e.printStackTrace(new PrintWriter(sw));
System.out.println("Error Occurred: " + sw.toString());
})
.onComplete(() -> {
System.out.println("=== All records stream successfully ===");
})
.subscriber(event -> {
List results = ((TranscriptEvent) event).transcript().results();
if (results.size() > 0) {
if (!results.get(0).alternatives().get(0).transcript().isEmpty()) {
System.out.println(results.get(0).alternatives().get(0).transcript());
}
}
})
.build();
}
private static class AudioStreamPublisher implements Publisher {
private final InputStream inputStream;
private static Subscription currentSubscription;
private AudioStreamPublisher(InputStream inputStream) {
this.inputStream = inputStream;
}
@Override
public void subscribe(Subscriber s) {
if (this.currentSubscription == null) {
this.currentSubscription = new SubscriptionImpl(s, inputStream);
} else {
this.currentSubscription.cancel();
this.currentSubscription = new SubscriptionImpl(s, inputStream);
}
s.onSubscribe(currentSubscription);
}
}
public static class SubscriptionImpl implements Subscription {
private static final int CHUNK_SIZE_IN_BYTES = 1024 * 1;
private final Subscriber subscriber;
private final InputStream inputStream;
private ExecutorService executor = Executors.newFixedThreadPool(1);
private AtomicLong demand = new AtomicLong(0);
SubscriptionImpl(Subscriber s, InputStream inputStream) {
this.subscriber = s;
this.inputStream = inputStream;
}
@Override
public void request(long n) {
if (n <= 0) {
subscriber.onError(new IllegalArgumentException("Demand must be positive"));
}
demand.getAndAdd(n);
executor.submit(() -> {
try {
do {
ByteBuffer audioBuffer = getNextEvent();
if (audioBuffer.remaining() > 0) {
AudioEvent audioEvent = audioEventFromBuffer(audioBuffer);
subscriber.onNext(audioEvent);
} else {
subscriber.onComplete();
break;
}
} while (demand.decrementAndGet() > 0);
} catch (Exception e) {
subscriber.onError(e);
}
});
}
@Override
public void cancel() {
executor.shutdown();
}
private ByteBuffer getNextEvent() {
ByteBuffer audioBuffer = null;
byte[] audioBytes = new byte[CHUNK_SIZE_IN_BYTES];
int len = 0;
try {
len = inputStream.read(audioBytes);
if (len <= 0) {
audioBuffer = ByteBuffer.allocate(0);
} else {
audioBuffer = ByteBuffer.wrap(audioBytes, 0, len);
}
} catch (IOException e) {
throw new UncheckedIOException(e);
}
return audioBuffer;
}
private AudioEvent audioEventFromBuffer(ByteBuffer bb) {
return AudioEvent.builder()
.audioChunk(SdkBytes.fromByteBuffer(bb))
.build();
}
}
}
```
转录来自计算机麦克风的流音频。
```
public class TranscribeStreamingDemoApp {
private static final Region REGION = Region.US_EAST_1;
private static TranscribeStreamingAsyncClient client;
public static void main(String[] args)
throws URISyntaxException, ExecutionException, InterruptedException, LineUnavailableException {
client = TranscribeStreamingAsyncClient.builder()
.credentialsProvider(getCredentials())
.region(REGION)
.build();
CompletableFuture result = client.startStreamTranscription(getRequest(16_000),
new AudioStreamPublisher(getStreamFromMic()),
getResponseHandler());
result.get();
client.close();
}
private static InputStream getStreamFromMic() throws LineUnavailableException {
// Signed PCM AudioFormat with 16kHz, 16 bit sample size, mono
int sampleRate = 16000;
AudioFormat format = new AudioFormat(sampleRate, 16, 1, true, false);
DataLine.Info info = new DataLine.Info(TargetDataLine.class, format);
if (!AudioSystem.isLineSupported(info)) {
System.out.println("Line not supported");
System.exit(0);
}
TargetDataLine line = (TargetDataLine) AudioSystem.getLine(info);
line.open(format);
line.start();
InputStream audioStream = new AudioInputStream(line);
return audioStream;
}
private static AwsCredentialsProvider getCredentials() {
return DefaultCredentialsProvider.create();
}
private static StartStreamTranscriptionRequest getRequest(Integer mediaSampleRateHertz) {
return StartStreamTranscriptionRequest.builder()
.languageCode(LanguageCode.EN_US.toString())
.mediaEncoding(MediaEncoding.PCM)
.mediaSampleRateHertz(mediaSampleRateHertz)
.build();
}
private static StartStreamTranscriptionResponseHandler getResponseHandler() {
return StartStreamTranscriptionResponseHandler.builder()
.onResponse(r -> {
System.out.println("Received Initial response");
})
.onError(e -> {
System.out.println(e.getMessage());
StringWriter sw = new StringWriter();
e.printStackTrace(new PrintWriter(sw));
System.out.println("Error Occurred: " + sw);
})
.onComplete(() -> {
System.out.println("=== All records stream successfully ===");
})
.subscriber(event -> {
List results = ((TranscriptEvent) event).transcript().results();
if (results.size() > 0) {
if (!results.get(0).alternatives().get(0).transcript().isEmpty()) {
System.out.println(results.get(0).alternatives().get(0).transcript());
}
}
})
.build();
}
private static class AudioStreamPublisher implements Publisher {
private static Subscription currentSubscription;
private final InputStream inputStream;
private AudioStreamPublisher(InputStream inputStream) {
this.inputStream = inputStream;
}
@Override
public void subscribe(Subscriber s) {
if (currentSubscription == null) {
currentSubscription = new SubscriptionImpl(s, inputStream);
} else {
currentSubscription.cancel();
currentSubscription = new SubscriptionImpl(s, inputStream);
}
s.onSubscribe(currentSubscription);
}
}
public static class SubscriptionImpl implements Subscription {
private static final int CHUNK_SIZE_IN_BYTES = 1024;
private final Subscriber subscriber;
private final InputStream inputStream;
private final ExecutorService executor = Executors.newFixedThreadPool(1);
private final AtomicLong demand = new AtomicLong(0);
SubscriptionImpl(Subscriber s, InputStream inputStream) {
this.subscriber = s;
this.inputStream = inputStream;
}
@Override
public void request(long n) {
if (n <= 0) {
subscriber.onError(new IllegalArgumentException("Demand must be positive"));
}
demand.getAndAdd(n);
executor.submit(() -> {
try {
do {
ByteBuffer audioBuffer = getNextEvent();
if (audioBuffer.remaining() > 0) {
AudioEvent audioEvent = audioEventFromBuffer(audioBuffer);
subscriber.onNext(audioEvent);
} else {
subscriber.onComplete();
break;
}
} while (demand.decrementAndGet() > 0);
} catch (Exception e) {
subscriber.onError(e);
}
});
}
@Override
public void cancel() {
executor.shutdown();
}
private ByteBuffer getNextEvent() {
ByteBuffer audioBuffer = null;
byte[] audioBytes = new byte[CHUNK_SIZE_IN_BYTES];
int len = 0;
try {
len = inputStream.read(audioBytes);
if (len <= 0) {
audioBuffer = ByteBuffer.allocate(0);
} else {
audioBuffer = ByteBuffer.wrap(audioBytes, 0, len);
}
} catch (IOException e) {
throw new UncheckedIOException(e);
}
return audioBuffer;
}
private AudioEvent audioEventFromBuffer(ByteBuffer bb) {
return AudioEvent.builder()
.audioChunk(SdkBytes.fromByteBuffer(bb))
.build();
}
}
}
```
+ 有关 API 详细信息，请参阅《AWS SDK for Java 2.x API Reference》**中的以下主题。
+ [GetTranscriptionJob](https://docs.aws.amazon.com/goto/SdkForJavaV2/transcribe-2017-10-26/GetTranscriptionJob)
+ [StartTranscriptionJob](https://docs.aws.amazon.com/goto/SdkForJavaV2/transcribe-2017-10-26/StartTranscriptionJob)
------
#### [ Python ]
**适用于 Python 的 SDK（Boto3）**
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples)中查找完整示例，了解如何进行设置和运行。
```
import time
import boto3
def transcribe_file(job_name, file_uri, transcribe_client):
transcribe_client.start_transcription_job(
TranscriptionJobName=job_name,
Media={"MediaFileUri": file_uri},
MediaFormat="wav",
LanguageCode="en-US",
)
max_tries = 60
while max_tries > 0:
max_tries -= 1
job = transcribe_client.get_transcription_job(TranscriptionJobName=job_name)
job_status = job["TranscriptionJob"]["TranscriptionJobStatus"]
if job_status in ["COMPLETED", "FAILED"]:
print(f"Job {job_name} is {job_status}.")
if job_status == "COMPLETED":
print(
f"Download the transcript from\n"
f"\t{job['TranscriptionJob']['Transcript']['TranscriptFileUri']}."
)
break
else:
print(f"Waiting for {job_name}. Current status is {job_status}.")
time.sleep(10)
def main():
transcribe_client = boto3.client("transcribe")
file_uri = "s3://test-transcribe/answer2.wav"
transcribe_file("Example-job", file_uri, transcribe_client)
if __name__ == "__main__":
main()
```
+ 有关 API 详细信息，请参阅《AWS SDK for Python (Boto3) API Reference》**中的以下主题。
+ [GetTranscriptionJob](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/GetTranscriptionJob)
+ [StartTranscriptionJob](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/StartTranscriptionJob)
------