发出音频转录请求（Beta 版）

同步转录本地音频文件。

代码示例

Python

如需了解如何安装和使用 Speech-to-Text 客户端库，请参阅 Speech-to-Text 客户端库。 如需了解详情，请参阅 Speech-to-Text Python API 参考文档。

如需向 Speech-to-Text 进行身份验证，请设置应用默认凭证。 如需了解详情，请参阅为本地开发环境设置身份验证。

from google.cloud import speech_v1p1beta1 as speech


def sample_recognize(storage_uri: str) -> speech.RecognizeResponse:
    """
    Performs synchronous speech recognition on an audio file

    Args:
      storage_uri URI for audio file in Cloud Storage, e.g. gs://[BUCKET]/[FILE]
    """

    client = speech.SpeechClient()

    # storage_uri = 'gs://cloud-samples-data/speech/brooklyn_bridge.mp3'

    # The language of the supplied audio
    language_code = "en-US"

    # Sample rate in Hertz of the audio data sent
    sample_rate_hertz = 44100

    # Encoding of audio data sent. This sample sets this explicitly.
    # This field is optional for FLAC and WAV audio formats.
    encoding = speech.RecognitionConfig.AudioEncoding.MP3
    config = {
        "language_code": language_code,
        "sample_rate_hertz": sample_rate_hertz,
        "encoding": encoding,
    }
    audio = {"uri": storage_uri}

    response = client.recognize(config=config, audio=audio)

    for result in response.results:
        # First alternative is the most probable result
        alternative = result.alternatives[0]
        print(f"Transcript: {alternative.transcript}")

后续步骤

如需搜索和过滤其他 Google Cloud 产品的代码示例，请参阅Google Cloud 示例浏览器。