Weitere AWS SDK-Beispiele sind im Repo AWS Doc SDK Examples
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Verwendung StartSpeechSynthesisTask
mit einem AWS SDK oder CLI
Die folgenden Codebeispiele zeigen, wie es verwendet wirdStartSpeechSynthesisTask
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- CLI
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- AWS CLI
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Um Text zu synthetisieren
Im folgenden
start-speech-synthesis-task
Beispiel wird der Text synthetisierttext_file.txt
und die resultierende MP3-Datei im angegebenen Bucket gespeichert.aws polly start-speech-synthesis-task \ --output-format mp3 \ --output-s3-bucket-name my-s3-bucket \ --text file://text_file.txt \ --voice-id Joanna
Ausgabe:
{ "SynthesisTask": { "TaskId": "70b61c0f-57ce-4715-a247-cae8729dcce9", "TaskStatus": "scheduled", "OutputUri": "https://s3.us-east-2.amazonaws.com/my-s3-bucket/70b61c0f-57ce-4715-a247-cae8729dcce9.mp3", "CreationTime": 1603911042.689, "RequestCharacters": 1311, "OutputFormat": "mp3", "TextType": "text", "VoiceId": "Joanna" } }
Weitere Informationen finden Sie unter Erstellen langer Audiodateien im Amazon Polly Developer Guide.
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Einzelheiten zur API finden Sie StartSpeechSynthesisTask
in der AWS CLI Befehlsreferenz.
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- Python
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- SDK für Python (Boto3)
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Anmerkung
Es gibt noch mehr dazu GitHub. Sie sehen das vollständige Beispiel und erfahren, wie Sie das AWS -Code-Beispiel-Repository
einrichten und ausführen. 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
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Einzelheiten zur API finden Sie StartSpeechSynthesisTaskin AWS SDK for Python (Boto3) API Reference.
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