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