111 lines
3.3 KiB
JavaScript
111 lines
3.3 KiB
JavaScript
/**
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* Sherpa-onnx offline TTS (Kokoro). Runs inside the dictation worker process
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* only — never load the native addon in the main server process.
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*/
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import { existsSync } from 'fs';
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import path from 'path';
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import { loadSherpaOnnxNode } from './sherpa-loader.js';
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function assertFileExists(filePath, label) {
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if (!existsSync(filePath)) {
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throw new Error(`Missing ${label}: ${filePath}`);
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}
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}
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function float32ToPcm16le(samples) {
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const out = new Int16Array(samples.length);
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for (let i = 0; i < samples.length; i += 1) {
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const clamped = Math.max(-1, Math.min(1, samples[i]));
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out[i] = Math.round(clamped * 32767);
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}
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return Buffer.from(out.buffer, out.byteOffset, out.byteLength);
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}
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export class SherpaTtsEngine {
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/**
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* @param {{ modelDir: string, files: { model: string, voices: string, tokens: string, espeakData: string }, numThreads?: number }} config
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*/
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constructor(config) {
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const modelPath = path.join(config.modelDir, config.files.model);
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const voicesPath = path.join(config.modelDir, config.files.voices);
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const tokensPath = path.join(config.modelDir, config.files.tokens);
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const dataDir = path.join(config.modelDir, config.files.espeakData);
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assertFileExists(modelPath, 'TTS model');
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assertFileExists(voicesPath, 'TTS voices');
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assertFileExists(tokensPath, 'TTS tokens');
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assertFileExists(dataDir, 'TTS espeak-ng dataDir');
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const sherpa = loadSherpaOnnxNode();
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if (typeof sherpa.OfflineTts !== 'function') {
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throw new Error('sherpa-onnx-node OfflineTts is unavailable');
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}
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this.tts = new sherpa.OfflineTts({
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model: {
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kokoro: {
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model: modelPath,
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voices: voicesPath,
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tokens: tokensPath,
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dataDir,
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lengthScale: 1.0,
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},
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},
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numThreads: config.numThreads ?? 2,
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provider: 'cpu',
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maxNumSentences: 1,
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});
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}
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/**
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* Synthesize text to PCM16LE.
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* @param {string} text
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* @param {{ speakerId?: number, speed?: number }} [options]
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* @returns {{ pcm16: Buffer, sampleRate: number }}
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*/
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synthesize(text, options = {}) {
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const trimmed = String(text || '').trim();
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if (!trimmed) {
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throw new Error('Cannot synthesize empty text');
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}
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const audio = this.tts.generate({
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text: trimmed,
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sid: Number.isInteger(options.speakerId) ? options.speakerId : 0,
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speed: typeof options.speed === 'number' && options.speed > 0 ? options.speed : 1.0,
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// Request a copied buffer from sherpa itself: native external-backed
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// typed arrays are rejected by Electron.
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enableExternalBuffer: false,
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});
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let samples = null;
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if (audio && audio.samples instanceof Float32Array) {
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samples = Float32Array.from(audio.samples);
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} else if (audio && Array.isArray(audio.samples)) {
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samples = Float32Array.from(audio.samples);
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}
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if (!samples) {
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throw new Error('Unexpected sherpa TTS output: missing Float32 samples');
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}
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const sampleRate =
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audio && typeof audio.sampleRate === 'number' && audio.sampleRate > 0
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? audio.sampleRate
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: typeof this.tts.sampleRate === 'number' && this.tts.sampleRate > 0
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? this.tts.sampleRate
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: 24000;
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return { pcm16: float32ToPcm16le(samples), sampleRate };
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}
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free() {
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try {
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this.tts?.free?.();
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} catch {
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// ignore
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}
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}
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}
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