Google cloud platform 谷歌云平台：大型媒体文件的语音到文本转换

Google cloud platform 谷歌云平台：大型媒体文件的语音到文本转换,google-cloud-platform,speech-recognition,speech-to-text,google-speech-api,google-cloud-speech,Google Cloud Platform,Speech Recognition,Speech To Text,Google Speech Api,Google Cloud Speech,我正在尝试从从youtube下载的mp4媒体文件中提取文本。由于我在使用谷歌云平台，所以想尝试一下谷歌云语音 在完成所有安装和配置之后，我复制了以下代码段以开始使用： with io.open(file_name, 'rb') as audio_file: content = audio_file.read() audio = types.RecognitionAudio(content=content) config = types.RecognitionConfig(enc

with io.open(file_name, 'rb') as audio_file:
    content = audio_file.read()
    audio = types.RecognitionAudio(content=content)

config = types.RecognitionConfig(encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16, sample_rate_hertz=16000, language_code='en-US')   

response = client.long_running_recognize(config, audio)

with io.open(file_name, 'rb') as audio_file:
    content = audio_file.read()

#In practice, stream should be a generator yielding chunks of audio data.

stream = [content]
requests = (types.StreamingRecognizeRequest(audio_content=chunk)for chunk in stream)

config = types.RecognitionConfig(encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,sample_rate_hertz=16000,language_code='en-US')

streaming_config = types.StreamingRecognitionConfig(config=config)

responses = client.streaming_recognize(streaming_config, requests)

  public static void syncRecognizeGcs(String gcsUri) throws Exception {
    // Instantiates a client with GOOGLE_APPLICATION_CREDENTIALS
    try (SpeechClient speech = SpeechClient.create()) {
      // Builds the request for remote FLAC file
      RecognitionConfig config =
          RecognitionConfig.newBuilder()
              .setEncoding(AudioEncoding.FLAC)
              .setLanguageCode("en-US")
              .setSampleRateHertz(16000)
              .build();
      RecognitionAudio audio = RecognitionAudio.newBuilder().setUri(gcsUri).build();

      // Use blocking call for getting audio transcript
      RecognizeResponse response = speech.recognize(config, audio);
      List<SpeechRecognitionResult> results = response.getResultsList();

      for (SpeechRecognitionResult result : results) {
        // There can be several alternative transcripts for a given chunk of speech. Just use the
        // first (most likely) one here.
        SpeechRecognitionAlternative alternative = result.getAlternativesList().get(0);
        System.out.printf("Transcription: %s%n", alternative.getTranscript());
      }
    }
  }

public static void syncRecognizeGcs（字符串gcsUri）引发异常{
//使用GOOGLE\u应用程序\u凭据实例化客户端
try（SpeechClient speech=SpeechClient.create（））{
//生成远程FLAC文件的请求
识别配置=
RecognitionConfig.newBuilder（）
.setEncoding（AudioEncoding.FLAC）
.setLanguageCode（“en-US”）
.setSampleRateHertz（16000）
.build（）；
RecognitionAudio=RecognitionAudio.newBuilder（）.setUri（gcsUri.build（）；
//使用阻止调用获取音频转录本
RecognizeResponse response=speech.recognize（配置，音频）；
列表结果=response.getResultsList（）；
for（SpeechRecognitionResult:results）{
//对于给定的一段演讲，可以有多个备选文本。只需使用
//第一个（很可能）在这里。
speechrecognitionalAlternative=result.getAlternativesList（）.get（0）；
System.out.printf（“转录：%s%n”，alternative.getTranscript（））；
}
}
}