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

src/lib/voicePreference.ts

@@ -1,13 +1,18 @@
 /** Voice gender preference applied to every TTS provider (pure helpers, unit tested). */
-import type { VoiceModelStatus } from '../../shared/voice';
+import type { VoiceModelStatus, VoiceSpeaker } from '../../shared/voice';
+import { defaultEdgeVoice, edgeVoiceGender } from '../../shared/edgeTts';
 
 export type VoiceGender = 'male' | 'female';
 
-const MALE_HINTS = /\b(homme|male|masculin|paul|thomas|claude|henri|guillaume|mathieu|antoine|nicolas|denis|pierre|tom|adam|michael|eric|liam|george|lewis|daniel|fenrir|puck|onyx|echo|david|mark|richard|james|ryan|guy)\b/i;
-const FEMALE_HINTS = /\b(femme|female|f[ée]minin|hortense|julie|denise|eloise|am[ée]lie|audrey|siwis|jessica|heart|bella|sarah|nicole|sky|alloy|nova|shimmer|zira|aria|jenny|emma|isabella|sophie|charlotte|vivienne|coral|sage)\b/i;
+const MALE_HINTS =
+  /\b(homme|male|masculin|paul|thomas|claude|henri|remy|rémy|gerard|guillaume|mathieu|antoine|nicolas|denis|pierre|tom|adam|michael|eric|liam|george|lewis|daniel|fenrir|puck|onyx|echo|david|mark|richard|james|ryan|guy|dylan|aiden|uncle fu|andrew|brian|fabrice|jean|thierry)\b/i;
+const FEMALE_HINTS =
+  /\b(femme|female|f[ée]minin|hortense|julie|denise|eloise|vivienne|charline|sylvie|ariane|am[ée]lie|audrey|siwis|jessica|heart|bella|sarah|nicole|sky|alloy|nova|shimmer|zira|aria|jenny|emma|ava|isabella|sophie|charlotte|coral|sage|vivian|serena|sohee|ono anna)\b/i;
 
-/** Best-effort gender from a voice or speaker label ("Piper Tom (homme, français)", "Microsoft Paul", "am_adam"). */
+/** Best-effort gender from a voice or speaker label ("Piper Tom (homme, français)", "Microsoft Paul", "am_adam", "fr-FR-HenriNeural"). */
 export function inferGender(name: string): VoiceGender | undefined {
+  const edge = edgeVoiceGender(name);
+  if (edge) return edge;
   const n = name.replace(/_/g, ' ');
   if (/^(am|bm|em|hm|im|jm|pm|zm)\b/i.test(n) || MALE_HINTS.test(n)) return 'male';
   if (/^(af|bf|ef|ff|hf|if|jf|pf|zf)\b/i.test(n) || FEMALE_HINTS.test(n)) return 'female';
@@ -19,6 +24,13 @@ export function defaultOpenAiVoice(gender: VoiceGender): string {
   return gender === 'male' ? 'onyx' : 'nova';
 }
 
+/** Edge voice to use: the explicit choice when it matches the gender, otherwise the language default. */
+export function resolveEdgeVoice(explicit: string, language: string, gender: VoiceGender): string {
+  const chosen = explicit.trim();
+  if (chosen && (edgeVoiceGender(chosen) ?? gender) === gender) return chosen;
+  return defaultEdgeVoice(language, gender);
+}
+
 /** Rank system voices: language first, then gender, then quality hints. */
 export function rankSystemVoice(v: { name: string; lang: string; localService?: boolean }, lang: string, gender: VoiceGender): number {
   const name = v.name.toLowerCase();
@@ -38,16 +50,39 @@ export interface LocalVoiceChoice {
   speaker: number;
 }
 
-/** Installed local voice matching language + gender, or null. */
+/** Local models from best to worst French rendering; unknown models come last. */
+const LOCAL_QUALITY: Record<string, number> = { 'supertonic-3': 0, 'kokoro-v1': 1, 'piper-fr-upmc': 2, 'piper-fr-tom': 3, 'piper-fr-siwis': 4 };
+
+export function localQualityRank(modelId: string): number {
+  return LOCAL_QUALITY[modelId] ?? 9;
+}
+
+function speakerGender(sp: VoiceSpeaker): VoiceGender | undefined {
+  return sp.gender === 'm' ? 'male' : sp.gender === 'f' ? 'female' : inferGender(sp.name);
+}
+
+function speakerSpeaks(sp: VoiceSpeaker, lang: string): boolean {
+  const spLang = (sp.lang || '').toLowerCase();
+  return !spLang || spLang === lang || spLang === 'multi';
+}
+
+/** First speaker of a model matching language + gender; falls back to any speaker of the language, then the first one. */
+export function pickSpeaker(model: Pick<VoiceModelStatus, 'speakers'>, lang: string, gender: VoiceGender): number {
+  const l = lang.toLowerCase().split('-')[0];
+  const speakers = model.speakers ?? [];
+  const exact = speakers.find((sp) => speakerSpeaks(sp, l) && speakerGender(sp) === gender);
+  const sameLang = speakers.find((sp) => speakerSpeaks(sp, l));
+  return (exact ?? sameLang ?? speakers[0])?.id ?? 0;
+}
+
+/** Installed local voice matching language + gender (best model first), or null. */
 export function findLocalVoice(models: VoiceModelStatus[], lang: string, gender: VoiceGender): LocalVoiceChoice | null {
   const l = lang.toLowerCase().split('-')[0];
-  const installed = models.filter((m) => m.kind === 'tts' && m.installed);
+  const installed = models.filter((m) => m.kind === 'tts' && m.installed).sort((a, b) => localQualityRank(a.id) - localQualityRank(b.id));
   for (const model of installed) {
     for (const sp of model.speakers ?? []) {
-      const spLang = (sp.lang || '').toLowerCase();
-      if (spLang && spLang !== l && spLang !== 'multi') continue;
-      const g = (sp as { gender?: string }).gender === 'm' ? 'male' : (sp as { gender?: string }).gender === 'f' ? 'female' : inferGender(sp.name);
-      if (g === gender) return { modelId: model.id, speaker: sp.id };
+      if (!speakerSpeaks(sp, l)) continue;
+      if (speakerGender(sp) === gender) return { modelId: model.id, speaker: sp.id };
     }
   }
   return null;
@@ -57,10 +92,19 @@ export function findLocalVoice(models: VoiceModelStatus[], lang: string, gender:
 export function suggestedDownload(models: VoiceModelStatus[], lang: string, gender: VoiceGender): string | null {
   const l = lang.toLowerCase().split('-')[0];
   if (l !== 'fr') return null;
-  const wanted = gender === 'male' ? ['piper-fr-tom', 'piper-fr-upmc'] : ['kokoro-v1', 'piper-fr-siwis'];
+  const wanted = gender === 'male' ? ['supertonic-3', 'piper-fr-tom', 'piper-fr-upmc'] : ['supertonic-3', 'kokoro-v1', 'piper-fr-siwis'];
   for (const id of wanted) {
     const m = models.find((x) => x.id === id);
     if (m && !m.installed) return id;
   }
   return null;
 }
+
+/** Best local model in the catalog for the language that is not installed yet (null when the best is already there). */
+export function bestLocalUpgrade(models: VoiceModelStatus[], lang: string): string | null {
+  const l = lang.toLowerCase().split('-')[0];
+  const best = models
+    .filter((m) => m.kind === 'tts' && (m.languages.includes(l) || m.languages.includes('multi')))
+    .sort((a, b) => localQualityRank(a.id) - localQualityRank(b.id))[0];
+  return best && !best.installed ? best.id : null;
+}