const speech = require('@google-cloud/speech'); const portAudio = require('naudiodon'); // const rs = fs.createReadStream('rawAudio.wav'); // Creates a client const client = new speech.SpeechClient(); const encoding = 'LINEAR16'; const sampleRateHertz = 16000; const languageCode = 'en-US'; const config = { encoding: encoding, sampleRateHertz: sampleRateHertz, languageCode: languageCode, }; /** * Note that transcription is limited to 60 seconds audio. * Use a GCS file for audio longer than 1 minute. */ let audio; async function transcribeSpeech (audio) { const request = { config: config, audio: audio, }; // Detects speech in the audio file. This creates a recognition job that you // can wait for now, or get its result later. const [operation] = await client.longRunningRecognize(request); // Get a Promise representation of the final result of the job const [response] = await operation.promise(); const transcription = response.results .map(result => result.alternatives[0].transcript) .join('\n'); console.log(`Transcription: ${transcription}`); } let audioInput = []; // Create an instance of AudioIO with inOptions (defaults are as below), which will return a ReadableStream const ia = new portAudio.AudioIO({ inOptions: { channelCount: 1, sampleFormat: 16, sampleRate: 16000, deviceId: -1, closeOnError: false, }, }); ia.setEncoding('base64'); ia.start(); ia.on('error', (e) => { console.log('error recording audio', + e); }); ia.on('data', (chunk) => { const buf = Buffer.from(chunk, 'base64'); audioInput.push(buf); }); async function processAudio() { const buf = Buffer.concat(audioInput); audioInput = []; transcribeSpeech({ content: buf }); } setTimeout(async () => { ia.pause(); processAudio(); // ia.resume(); }, 3000); setTimeout(() => { ia.resume(); }, 5000) setTimeout(async () => { ia.pause(); processAudio(); // ia.resume(); }, 8000); setTimeout(() => { ia.pause(); }, 9000)