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const express = require('express');
const { jsonParser } = require('../express-common');
const router = express.Router();
/**
* Gets the audio data from a base64-encoded audio file.
* @param {string} audio Base64-encoded audio
* @returns {Float64Array} Audio data
*/
function getWaveFile(audio) {
const wavefile = require('wavefile');
const wav = new wavefile.WaveFile();
wav.fromDataURI(audio);
wav.toBitDepth('32f');
wav.toSampleRate(16000);
let audioData = wav.getSamples();
if (Array.isArray(audioData)) {
if (audioData.length > 1) {
const SCALING_FACTOR = Math.sqrt(2);
// Merge channels (into first channel to save memory)
for (let i = 0; i < audioData[0].length; ++i) {
audioData[0][i] = SCALING_FACTOR * (audioData[0][i] + audioData[1][i]) / 2;
}
}
// Select first channel
audioData = audioData[0];
}
return audioData;
}
router.post('/recognize', jsonParser, async (req, res) => {
try {
const TASK = 'automatic-speech-recognition';
const { model, audio, lang } = req.body;
const module = await import('../transformers.mjs');
const pipe = await module.default.getPipeline(TASK, model);
const wav = getWaveFile(audio);
const start = performance.now();
const result = await pipe(wav, { language: lang || null, task: 'transcribe' });
const end = performance.now();
console.log(`Execution duration: ${(end - start) / 1000} seconds`);
console.log('Transcribed audio:', result.text);
return res.json({ text: result.text });
} catch (error) {
console.error(error);
return res.sendStatus(500);
}
});
router.post('/synthesize', jsonParser, async (req, res) => {
try {
const wavefile = require('wavefile');
const TASK = 'text-to-speech';
const { text, model, speaker } = req.body;
const module = await import('../transformers.mjs');
const pipe = await module.default.getPipeline(TASK, model);
const speaker_embeddings = speaker
? new Float32Array(new Uint8Array(Buffer.from(speaker.startsWith('data:') ? speaker.split(',')[1] : speaker, 'base64')).buffer)
: null;
const start = performance.now();
const result = await pipe(text, { speaker_embeddings: speaker_embeddings });
const end = performance.now();
console.log(`Execution duration: ${(end - start) / 1000} seconds`);
const wav = new wavefile.WaveFile();
wav.fromScratch(1, result.sampling_rate, '32f', result.audio);
const buffer = wav.toBuffer();
res.set('Content-Type', 'audio/wav');
return res.send(Buffer.from(buffer));
} catch (error) {
console.error(error);
return res.sendStatus(500);
}
});
module.exports = { router };
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