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feat: voix Edge neuronales, Supertonic 3 en local et genre respecté par tous les moteurs (v2.5.0)
- Nouveau moteur « Microsoft Edge » (voix neuronales gratuites, sans clé) : Henri / Denise par défaut selon le genre, liste des voix fr-FR / fr-CA / fr-CH / fr-BE, WebSocket signé (Sec-MS-GEC) dans le processus principal, MP3 24 kHz. Moteur par défaut des nouvelles installations. - Supertonic 3 ajouté au catalogue local (31 langues, 5 voix masculines + 5 féminines, 44 kHz, 129 Mo) : langue transmise au worker, genres des voix vérifiés par mesure de F0. - Kokoro déclassé pour le français (une seule voix féminine, accent) ; le choix masculin/féminin bascule sur le meilleur modèle installé et conserve le genre quand on change de modèle ; Google Translate signalé comme voix féminine uniquement. - Deux préréglages JARVIS : en ligne (Edge Henri) et hors ligne (Supertonic 3). - Traitement du micro par Chromium (écho, bruit, gain) débrayable pour de meilleures transcriptions au casque. - Tests : protocole Edge (jeton, SSML, trames), sélection de voix ; README et feuille de route (mesures Supertonic, Parakeet vs Qwen3-ASR). Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MMpgFriwxiBgurUVb21oCE
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@@ -1,36 +1,61 @@
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import { describe, expect, it } from 'vitest';
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import { defaultOpenAiVoice, findLocalVoice, inferGender, rankSystemVoice, suggestedDownload } from '../src/lib/voicePreference';
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import type { VoiceModelStatus } from '../shared/voice';
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import { bestLocalUpgrade, defaultOpenAiVoice, findLocalVoice, inferGender, pickSpeaker, rankSystemVoice, resolveEdgeVoice, suggestedDownload } from '../src/lib/voicePreference';
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import type { VoiceModelStatus, VoiceSpeaker } from '../shared/voice';
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const model = (id: string, installed: boolean, speakers: Array<{ id: number; name: string; lang: string }>): VoiceModelStatus =>
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({ id, kind: 'tts', engine: 'piper', name: id, description: '', languages: ['fr'], sizeMb: 1, url: '', dir: id, files: [], speakers, installed, installedBytes: 0 }) as unknown as VoiceModelStatus;
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const model = (id: string, installed: boolean, speakers: VoiceSpeaker[], languages = ['fr']): VoiceModelStatus =>
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({ id, kind: 'tts', engine: 'piper', name: id, description: '', languages, sizeMb: 1, url: '', dir: id, files: [], speakers, installed, installedBytes: 0 }) as unknown as VoiceModelStatus;
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describe('inferGender', () => {
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it('reads catalog labels, system voices and kokoro ids', () => {
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it('reads catalog labels, system voices, kokoro ids and Edge short names', () => {
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expect(inferGender('Piper Tom (homme, français)')).toBe('male');
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expect(inferGender('Siwis (femme, français)')).toBe('female');
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expect(inferGender('Microsoft Paul - French (France)')).toBe('male');
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expect(inferGender('Microsoft Hortense - French (France)')).toBe('female');
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expect(inferGender('am_adam')).toBe('male');
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expect(inferGender('fr-FR-HenriNeural')).toBe('male');
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expect(inferGender('fr-FR-DeniseNeural')).toBe('female');
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expect(inferGender('Voix 3')).toBeUndefined();
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});
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});
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describe('local voice selection', () => {
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const supertonic: VoiceSpeaker[] = [
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{ id: 6, name: 'Homme 2 (grave, posé)', lang: 'multi', gender: 'm' },
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{ id: 0, name: 'Femme 1', lang: 'multi', gender: 'f' }
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];
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const models = [
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model('kokoro-v1', true, [{ id: 30, name: 'Siwis (femme, français)', lang: 'fr' }, { id: 4, name: 'Adam (homme, anglais US)', lang: 'en' }]),
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model('kokoro-v1', true, [{ id: 30, name: 'Siwis (femme, français)', lang: 'fr' }, { id: 4, name: 'Adam (homme, anglais US)', lang: 'en' }], ['en', 'fr', 'multi']),
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model('piper-fr-tom', false, [{ id: 0, name: 'Tom', lang: 'fr' }]),
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model('piper-fr-upmc', true, [{ id: 0, name: 'Jessica (femme)', lang: 'fr' }, { id: 1, name: 'Pierre (homme)', lang: 'fr' }])
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model('piper-fr-upmc', true, [{ id: 0, name: 'Jessica (femme)', lang: 'fr' }, { id: 1, name: 'Pierre (homme)', lang: 'fr' }]),
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model('supertonic-3', false, supertonic, ['fr', 'en', 'multi'])
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];
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it('prefers an installed speaker of the wanted gender in the right language', () => {
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expect(findLocalVoice(models, 'fr-FR', 'male')).toEqual({ modelId: 'piper-fr-upmc', speaker: 1 });
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expect(findLocalVoice(models, 'fr-FR', 'female')).toEqual({ modelId: 'kokoro-v1', speaker: 30 });
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expect(findLocalVoice(models.slice(0, 2), 'fr', 'male')).toBeNull();
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});
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it('suggests a French download when nothing matches', () => {
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expect(suggestedDownload(models, 'fr', 'male')).toBe('piper-fr-tom');
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it('ranks Supertonic above Kokoro and Piper once installed', () => {
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const installed = models.map((m) => (m.id === 'supertonic-3' ? { ...m, installed: true } : m));
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expect(findLocalVoice(installed, 'fr-FR', 'male')).toEqual({ modelId: 'supertonic-3', speaker: 6 });
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expect(findLocalVoice(installed, 'fr-FR', 'female')).toEqual({ modelId: 'supertonic-3', speaker: 0 });
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});
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it('suggests Supertonic first, then the Piper voices, for a French download', () => {
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expect(suggestedDownload(models, 'fr', 'male')).toBe('supertonic-3');
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expect(suggestedDownload(models.filter((m) => m.id !== 'supertonic-3'), 'fr', 'male')).toBe('piper-fr-tom');
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expect(suggestedDownload(models, 'en', 'male')).toBeNull();
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});
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it('reports the best local model still to download', () => {
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expect(bestLocalUpgrade(models, 'fr-FR')).toBe('supertonic-3');
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expect(bestLocalUpgrade(models.map((m) => ({ ...m, installed: true })), 'fr-FR')).toBeNull();
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});
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it('keeps the gender when switching models and falls back to the language', () => {
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expect(pickSpeaker(models[3], 'fr-FR', 'male')).toBe(6);
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expect(pickSpeaker(models[3], 'fr-FR', 'female')).toBe(0);
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expect(pickSpeaker(models[2], 'fr', 'male')).toBe(1);
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// Kokoro: no masculine French voice → the French voice, not an English one.
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expect(pickSpeaker(models[0], 'fr', 'male')).toBe(30);
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expect(pickSpeaker({ speakers: [] }, 'fr', 'male')).toBe(0);
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});
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});
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describe('provider defaults', () => {
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@@ -38,6 +63,12 @@ describe('provider defaults', () => {
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expect(defaultOpenAiVoice('male')).toBe('onyx');
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expect(defaultOpenAiVoice('female')).toBe('nova');
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});
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it('keeps an explicit Edge voice only when it matches the gender', () => {
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expect(resolveEdgeVoice('', 'fr-FR', 'male')).toBe('fr-FR-HenriNeural');
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expect(resolveEdgeVoice('fr-FR-RemyMultilingualNeural', 'fr-FR', 'male')).toBe('fr-FR-RemyMultilingualNeural');
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expect(resolveEdgeVoice('fr-FR-DeniseNeural', 'fr-FR', 'male')).toBe('fr-FR-HenriNeural');
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expect(resolveEdgeVoice('fr-CH-ArianeNeural', 'fr-FR', 'female')).toBe('fr-CH-ArianeNeural');
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});
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it('ranks system voices by language then gender', () => {
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const paul = { name: 'Microsoft Paul - French (France)', lang: 'fr-FR', localService: true };
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const hortense = { name: 'Microsoft Hortense - French (France)', lang: 'fr-FR', localService: true };
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