Google语音API在Node.js中不工作

我正在Node.js中使用谷歌云语音API。当我发送本地音频文件时，它会给出结果，但当我尝试发送实时流时，它会在一秒钟内停止。有人能帮我吗

我正在使用此文件：

这是我将音频文件传递到google speech API时的代码。在这里，它工作正常。我正在将存储在文件名中的音频文件发送到谷歌语音API

  function sample() {
  const projectId = 'project id';
  let file = "conf.json" //google exported this for you 
  var speech = require('@google-cloud/speech')({
      projectId: 'project id',
      keyFilename: 'Speech to text-a5ff6058e586.json'
  });
  const fs = require('fs');
  const fileName = 'C:/Users/nap1225/Downloads/audio-files/audio_001.wav';
  //       const fileName = 'C:/xampp/htdocs/SpeechWatson/public/audio/Us_English_Broadband_Sample_2.wav';
  //       const fileName = 'Sample 1.wav';
  //       const fileName = 'C:/Users/nap1225/Desktop/dolo.wav';
  // Reads a local audio file and converts it to base64
  const fileMp3 = fs.readFileSync(fileName);
  const audioBytes = fileMp3.toString('base64');
  const audio = {
      content: audioBytes
  };
  const config = {
      encoding: 'LINEAR16',
      sampleRateHertz: 16000,
      languageCode: 'en-US',
      speechContexts: {
          "phrases": ["refsum"]
      }
  };
  const request = {
      audio: audio,
      config: config
  };
  speech.recognize(request)
      .then((results) => {
          const transcription = results[0].results[0].alternatives[0].transcript;
          console.log(`Transcription: `, transcription);
      })
      .catch((err) => {
          console.error('ERROR:', err);


    });
}
sample();

2.这是我正在发送流音频的代码。当我在中执行此代码时，它正在录制1秒并停止

function streamingMicRecognize () {
  // [START speech_streaming_mic_recognize]
  // Imports the Google Cloud client library
  const record = require('node-record-lpcm16');
        const projectId = 'project id';
        let file="conf.json"//google exported this for you 
        const speech = require('@google-cloud/speech')({
            projectId: 'project id',
            keyFilename: 'Speech to text-a5ff6058e586.json'
        }); 

  // Instantiates a client
  //const speech = Speech();

  // The encoding of the audio file, e.g. 'LINEAR16'
   const encoding = 'LINEAR16';

  // The sample rate of the audio file in hertz, e.g. 16000
  const sampleRateHertz = 16000;

  // The BCP-47 language code to use, e.g. 'en-US'
   const languageCode = 'en-US';

  const request = {
    config: {
      encoding: encoding,
      sampleRateHertz: sampleRateHertz,
      languageCode: languageCode
    },
    interimResults: true, // If you want interim results, set this to true
    singleUtterance: false
  };

  // Create a recognize stream
  const recognizeStream = speech.streamingRecognize(request)
    .on('error', console.error)
    .on('data', (data) =>
        process.stdout.write(
          (data.results[0] && data.results[0].alternatives[0])
            ? `Transcription: ${data.results[0].alternatives[0].transcript}\n`
            : `\n\nReached transcription time limit, press Ctrl+C\n`));

  // Start recording and send the microphone input to the Speech API
 record
    .start({
      sampleRateHertz: sampleRateHertz,
      threshold: 20,
      // Other options, see https://www.npmjs.com/package/node-record-lpcm16#options
      verbose: false,
      recordProgram: 'sox', // Try also "arecord" or "sox"
      silence: '10.0',
      device : 'plughw:0'
    //  device : settingsRecord.audio_input
    })
    .on('error', console.error)
    .pipe(recognizeStream);

  console.log('Listening, press Ctrl+C to stop.');
  // [END speech_streaming_mic_recognize]

 /* .command(
    `listen`,
    `Detects speech in a microphone input stream. This command requires that you have SoX installed and available in your $PATH. See https://www.npmjs.com/package/node-record-lpcm16#dependencies`,
    {},
    (opts) => streamingMicRecognize(opts.encoding, opts.sampleRateHertz, opts.languageCode)
  )
  .options({
    encoding: {
      alias: 'e',
      default: 'LINEAR16',
      global: true,
      requiresArg: true,
      type: 'string'
    },
    sampleRateHertz: {
      alias: 'r',
      default: 16000,
      global: true,
      requiresArg: true,
      type: 'number'
    },
    languageCode: {
      alias: 'l',
      default: 'en-US',
      global: true,
      requiresArg: true,
      type: 'string'
    }
  }) */
}
streamingMicRecognize();

---

请用您正在使用的一些代码详细说明您的问题，例如如何提供本地文件以及如何访问实时流。没有它是很难帮助的。嗨，查兰，我已经包括了代码请tru来帮助我请用一些你正在使用的代码详细说明你的问题，比如你如何提供本地文件以及如何访问实时流。没有它是很难帮助的。嗨查兰，我已经包括了代码请tru来帮助我