与 AWS SDK或CreateVocabulary一起使用 CLI - AWS SDK代码示例

AWS 文档 AWS SDK示例 GitHub 存储库中还有更多SDK示例。

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。

与 AWS SDK或CreateVocabulary一起使用 CLI

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：

.NET
AWS SDK for .NET
注意

还有更多相关信息 GitHub。查找完整示例，学习如何在 AWS 代码示例存储库中进行设置和运行。


    /// <summary>
    /// Create a custom vocabulary using a list of phrases. Custom vocabularies
    /// improve transcription accuracy for one or more specific words.
    /// </summary>
    /// <param name="languageCode">The language code of the vocabulary.</param>
    /// <param name="phrases">Phrases to use in the vocabulary.</param>
    /// <param name="vocabularyName">Name for the vocabulary.</param>
    /// <returns>The state of the custom vocabulary.</returns>
    public async Task<VocabularyState> CreateCustomVocabulary(LanguageCode languageCode,
        List<string> phrases, string vocabularyName)
    {
        var response = await _amazonTranscribeService.CreateVocabularyAsync(
            new CreateVocabularyRequest
            {
                LanguageCode = languageCode,
                Phrases = phrases,
                VocabularyName = vocabularyName
            });
        return response.VocabularyState;
    }

  • 有关API详细信息，请参阅 “AWS SDK for .NET API参考 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 URI S3)。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://DOC-EXAMPLE-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。

Python
SDK适用于 Python (Boto3)
注意

还有更多相关信息 GitHub。查找完整示例，学习如何在 AWS 代码示例存储库中进行设置和运行。

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详细信息，请参阅CreateVocabulary中的 AWS SDKPython (Boto3) API 参考。