D'autres exemples de AWS SDK sont disponibles dans le référentiel [AWS Doc SDK Examples](https://github.com/awsdocs/aws-doc-sdk-examples) GitHub . Les traductions sont fournies par des outils de traduction automatique. En cas de conflit entre le contenu d'une traduction et celui de la version originale en anglais, la version anglaise prévaudra. # Utilisation `StartSpeechSynthesisTask` avec un AWS SDK ou une CLI Les exemples de code suivants illustrent comment utiliser `StartSpeechSynthesisTask`. ------ #### [ CLI ] **AWS CLI** **Pour synthétiser du texte** L'`start-speech-synthesis-task`exemple suivant synthétise le texte `text_file.txt` et stocke le MP3 fichier obtenu dans le compartiment spécifié. ``` aws polly start-speech-synthesis-task \ --output-format mp3 \ --output-s3-bucket-name amzn-s3-demo-bucket \ --text file://text_file.txt \ --voice-id Joanna ``` Sortie : ``` { "SynthesisTask": { "TaskId": "70b61c0f-57ce-4715-a247-cae8729dcce9", "TaskStatus": "scheduled", "OutputUri": "https://s3.us-east-2.amazonaws.com/amzn-s3-demo-bucket/70b61c0f-57ce-4715-a247-cae8729dcce9.mp3", "CreationTime": 1603911042.689, "RequestCharacters": 1311, "OutputFormat": "mp3", "TextType": "text", "VoiceId": "Joanna" } } ``` Pour plus d’informations, consultez [Création de fichiers audio longs](https://docs.aws.amazon.com/polly/latest/dg/longer-cli.html) dans le *Guide du développeur Amazon Polly*. + Pour plus de détails sur l'API, voir [StartSpeechSynthesisTask](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/polly/start-speech-synthesis-task.html)la section *Référence des AWS CLI commandes*. ------ #### [ Python ] **Kit SDK for Python (Boto3)** Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/polly#code-examples). ``` class PollyWrapper: """Encapsulates Amazon Polly functions.""" def __init__(self, polly_client, s3_resource): """ :param polly_client: A Boto3 Amazon Polly client. :param s3_resource: A Boto3 Amazon Simple Storage Service (Amazon S3) resource. """ self.polly_client = polly_client self.s3_resource = s3_resource self.voice_metadata = None def do_synthesis_task( self, text, engine, voice, audio_format, s3_bucket, lang_code=None, include_visemes=False, wait_callback=None, ): """ Start an asynchronous task to synthesize speech or speech marks, wait for the task to complete, retrieve the output from Amazon S3, and return the data. An asynchronous task is required when the text is too long for near-real time synthesis. :param text: The text to synthesize. :param engine: The kind of engine used. Can be standard or neural. :param voice: The ID of the voice to use. :param audio_format: The audio format to return for synthesized speech. When speech marks are synthesized, the output format is JSON. :param s3_bucket: The name of an existing Amazon S3 bucket that you have write access to. Synthesis output is written to this bucket. :param lang_code: The language code of the voice to use. This has an effect only when a bilingual voice is selected. :param include_visemes: When True, a second request is made to Amazon Polly to synthesize a list of visemes, using the specified text and voice. A viseme represents the visual position of the face and mouth when saying part of a word. :param wait_callback: A callback function that is called periodically during task processing, to give the caller an opportunity to take action, such as to display status. :return: The audio stream that contains the synthesized speech and a list of visemes that are associated with the speech audio. """ try: kwargs = { "Engine": engine, "OutputFormat": audio_format, "OutputS3BucketName": s3_bucket, "Text": text, "VoiceId": voice, } if lang_code is not None: kwargs["LanguageCode"] = lang_code response = self.polly_client.start_speech_synthesis_task(**kwargs) speech_task = response["SynthesisTask"] logger.info("Started speech synthesis task %s.", speech_task["TaskId"]) viseme_task = None if include_visemes: kwargs["OutputFormat"] = "json" kwargs["SpeechMarkTypes"] = ["viseme"] response = self.polly_client.start_speech_synthesis_task(**kwargs) viseme_task = response["SynthesisTask"] logger.info("Started viseme synthesis task %s.", viseme_task["TaskId"]) except ClientError: logger.exception("Couldn't start synthesis task.") raise else: bucket = self.s3_resource.Bucket(s3_bucket) audio_stream = self._wait_for_task( 10, speech_task["TaskId"], "speech", wait_callback, bucket ) visemes = None if include_visemes: viseme_data = self._wait_for_task( 10, viseme_task["TaskId"], "viseme", wait_callback, bucket ) visemes = [ json.loads(v) for v in viseme_data.read().decode().split() if v ] return audio_stream, visemes ``` + Pour plus de détails sur l'API, consultez [StartSpeechSynthesisTask](https://docs.aws.amazon.com/goto/boto3/polly-2016-06-10/StartSpeechSynthesisTask)le *AWS manuel de référence de l'API SDK for Python (Boto3*). ------ #### [ SAP ABAP ] **Kit SDK pour SAP ABAP** Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/ply#code-examples). ``` TRY. " Only pass optional parameters if they have values IF iv_lang_code IS NOT INITIAL AND iv_s3_key_prefix IS NOT INITIAL. oo_result = lo_ply->startspeechsynthesistask( iv_engine = iv_engine iv_outputformat = iv_audio_format iv_outputs3bucketname = iv_s3_bucket iv_outputs3keyprefix = iv_s3_key_prefix iv_text = iv_text iv_voiceid = iv_voice_id iv_languagecode = iv_lang_code ). ELSEIF iv_lang_code IS NOT INITIAL. oo_result = lo_ply->startspeechsynthesistask( iv_engine = iv_engine iv_outputformat = iv_audio_format iv_outputs3bucketname = iv_s3_bucket iv_text = iv_text iv_voiceid = iv_voice_id iv_languagecode = iv_lang_code ). ELSEIF iv_s3_key_prefix IS NOT INITIAL. oo_result = lo_ply->startspeechsynthesistask( iv_engine = iv_engine iv_outputformat = iv_audio_format iv_outputs3bucketname = iv_s3_bucket iv_outputs3keyprefix = iv_s3_key_prefix iv_text = iv_text iv_voiceid = iv_voice_id ). ELSE. oo_result = lo_ply->startspeechsynthesistask( iv_engine = iv_engine iv_outputformat = iv_audio_format iv_outputs3bucketname = iv_s3_bucket iv_text = iv_text iv_voiceid = iv_voice_id ). ENDIF. MESSAGE 'Speech synthesis task started.' TYPE 'I'. CATCH /aws1/cx_plyinvalids3bucketex. MESSAGE 'Invalid S3 bucket.' TYPE 'E'. CATCH /aws1/cx_plyinvalidssmlex. MESSAGE 'Invalid SSML.' TYPE 'E'. CATCH /aws1/cx_plylexiconnotfoundex. MESSAGE 'Lexicon not found.' TYPE 'E'. CATCH /aws1/cx_plyservicefailureex. MESSAGE 'Service failure occurred.' TYPE 'E'. CATCH /aws1/cx_plytextlengthexcdex. MESSAGE 'Text length exceeded maximum.' TYPE 'E'. ENDTRY. ``` + Pour plus de détails sur l'API, reportez-vous [StartSpeechSynthesisTask](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)à la section de référence du *AWS SDK pour l'API SAP ABAP*. ------