Gunakan StartSpeechSynthesisTask dengan AWS SDK atau CLI - AWS SDKContoh Kode

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Gunakan StartSpeechSynthesisTask dengan AWS SDK atau CLI

Contoh kode berikut menunjukkan cara menggunakanStartSpeechSynthesisTask.

CLI
AWS CLI

Untuk mensintesis teks

start-speech-synthesis-taskContoh berikut mensintesis teks text_file.txt dan menyimpan MP3 file yang dihasilkan dalam bucket yang ditentukan.

aws polly start-speech-synthesis-task \ --output-format mp3 \ --output-s3-bucket-name my-s3-bucket \ --text file://text_file.txt \ --voice-id Joanna

Output:

{ "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" } }

Untuk informasi selengkapnya, lihat Membuat file audio panjang di Panduan Pengembang Amazon Polly.

Python
SDKuntuk Python (Boto3)
catatan

Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di AWS Repositori Contoh Kode.

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