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feat: Piper komplett entfernt — nur noch XTTS v2 als TTS 

Breaking Change: wenn XTTS-Bridge (Gaming-PC) offline ist, bleibt ARIA
stumm. Chat-Antworten kommen weiter an, aber kein Audio. Das ist
bewusst akzeptiert — XTTS klingt einfach grauenhaft viel besser.

Bridge (aria_bridge.py):
- from piper import ... raus
- VoiceEngine-Klasse komplett entfernt (synthesize, speak, select_voice)
- EPIC_TRIGGERS + load_epic_triggers raus (Highlight-Voice-Feature
  ohne Piper sinnlos)
- self.voice_engine, voice_name, requested_voice Aufrufe weg
- _process_core_response: immer XTTS, kein Fallback
- tts_request Handler: immer XTTS
- config Handler: nur ttsEnabled + xttsVoice + whisperModel
- import wave raus

bridge/requirements.txt: piper-tts raus
bridge/Dockerfile: Kommentar aktualisiert
docker-compose.yml: ./aria-data/voices Mount raus
aria-data/config/aria.env.example: PIPER_RAMONA/PIPER_THORSTEN raus
get-voices.sh: komplett geloescht (war nur Piper-Downloader)

Diagnostic UI (index.html):
- Piper Panel (Standard-Stimme / Highlight-Stimme / Speed-Sliders) weg
- TTS Engine Dropdown weg (immer XTTS)
- TTS Diagnose Tab zeigt nur noch XTTS-Status + Test-Button
- sendVoiceConfig sendet nur noch ttsEnabled/xttsVoice/whisperModel
- toggleXTTSPanel als no-op Legacy-Stub (JS-Calls bleiben safe)

Diagnostic Server (server.js):
- handleSendVoiceConfig: nur noch ttsEnabled + xttsVoice + whisperModel
- handleTestTTS: via xtts_request (nicht mehr Piper subprocess)
- handleCheckTTS: via xtts_list_voices ueber RVS
- handleGetVoiceConfig/Defaults bereinigt
- Highlight-Trigger UI bleibt, wird aber von Bridge nicht mehr
  ausgewertet (dead-code im UI, spaeter ggf. fuer XTTS-Voice-Switch)

README + issue.md aktualisiert.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
duffyduck 2026-04-19 22:24:42 +02:00
parent 6ab6196739
commit f801d99748
10 changed files with 144 additions and 643 deletions
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76
README.md
View File

@ -57,8 +57,8 @@ ARIA hat zwei Rollen:
│ │ Liest BOOTSTRAP.md + AGENT.md │ │ │ │ Liest BOOTSTRAP.md + AGENT.md │ │
│ │ │ │ │ │ │ │
│ │ [bridge] ARIA Voice Bridge Container │ │ │ │ [bridge] ARIA Voice Bridge Container │ │
│ │ Whisper STT · Piper TTS · Wake-Word │ │ │ │ Whisper STT · Wake-Word │ │
│ │ Ramona (weiblich) + Thorsten (tief) │ │ │ │ TTS remote via XTTS v2 auf Gaming-PC │ │
│ │ Bruecke: App <> RVS <> Bridge <> ARIA │ │ │ │ Bruecke: App <> RVS <> Bridge <> ARIA │ │
│ │ │ │ │ │ │ │
│ │ [diagnostic] Selbstcheck-UI + Einstellungen │ │ │ │ [diagnostic] Selbstcheck-UI + Einstellungen │ │
@ -143,21 +143,16 @@ claude login
**Wichtig:** Der Ordner `~/.claude/` (nicht `~/.config/claude/`!) wird als Volume **Wichtig:** Der Ordner `~/.claude/` (nicht `~/.config/claude/`!) wird als Volume
in den Proxy gemountet. Die Credentials ueberleben Container-Restarts. in den Proxy gemountet. Die Credentials ueberleben Container-Restarts.
### 3. Stimmen herunterladen ### 3. Voice Bridge konfigurieren
```bash
./get-voices.sh
# Laedt Ramona + Thorsten (Piper TTS) nach aria-data/voices/
# Ca. 100MB, dauert ein paar Minuten
```
### 4. Voice Bridge konfigurieren
```bash ```bash
cp aria-data/config/aria.env.example aria-data/config/aria.env cp aria-data/config/aria.env.example aria-data/config/aria.env
# Bei Bedarf anpassen (Whisper-Modell, Sprache, Stimmen-Pfade) # Bei Bedarf anpassen (Whisper-Modell, Sprache, Wake-Word)
``` ```
TTS laeuft ausschliesslich ueber XTTS v2 auf dem Gaming-PC — siehe Abschnitt
"XTTS v2 — High-Quality TTS" weiter unten.
### 5. RVS-Token generieren & Container starten ### 5. RVS-Token generieren & Container starten
```bash ```bash
@ -253,7 +248,6 @@ Danach werden per `sed` vier Patches angewendet:
- Sicherheitsregeln (kein ClawHub, Prompt Injection abwehren) - Sicherheitsregeln (kein ClawHub, Prompt Injection abwehren)
- Tool-Freigaben (alle Claude Code Tools: WebFetch, Bash, etc.) - Tool-Freigaben (alle Claude Code Tools: WebFetch, Bash, etc.)
- SSH-Zugriff auf aria-wohnung (VM) - SSH-Zugriff auf aria-wohnung (VM)
- Stimmen-Auswahl (Ramona vs Thorsten)
- Gedaechtnis-System - Gedaechtnis-System
### openclaw.json (via aria-setup.sh) ### openclaw.json (via aria-setup.sh)
@ -299,15 +293,14 @@ Audio: App → RVS → Bridge → FFmpeg → Whisper STT → chat.send → aria
Datei: App → RVS → Bridge → /shared/uploads/ → chat.send (mit Pfad) → aria-core Datei: App → RVS → Bridge → /shared/uploads/ → chat.send (mit Pfad) → aria-core
aria-core → Antwort → Gateway → Diagnostic → RVS → App aria-core → Antwort → Gateway → Diagnostic → RVS → App
→ Bridge → Piper TTS → RVS → App (Audio) → Bridge → XTTS (PCM-Stream) → RVS → App AudioTrack
→ Bridge → Lautsprecher (lokal)
``` ```
### Features ### Features
- **STT**: faster-whisper (lokal, offline, 16kHz mono) - **STT**: faster-whisper (lokal, offline, 16kHz mono)
- **TTS**: Piper (Ramona + Thorsten, offline) oder XTTS v2 (remote, GPU, Voice Cloning) - **TTS**: XTTS v2 (remote auf Gaming-PC, GPU, Voice Cloning) — Streaming ueber PCM-Chunks
- **Markdown-Bereinigung**: Entfernt **fett**, *kursiv*, `code`, Links, Listen etc. vor TTS (natuerliche Sprache) - **Text-Cleanup**: `<voice>...</voice>` Tag bevorzugt, Markdown/Code/Einheiten/URLs werden TTS-gerecht aufbereitet
- **Wake-Word**: openwakeword (lokales Mikrofon auf der VM) - **Wake-Word**: openwakeword (lokales Mikrofon auf der VM)
- **App-Audio**: Base64 Audio von App → FFmpeg → Whisper STT → Text an aria-core - **App-Audio**: Base64 Audio von App → FFmpeg → Whisper STT → Text an aria-core
- **Modi**: Normal, Nicht stoeren, Fluestern, Hangar, Gaming - **Modi**: Normal, Nicht stoeren, Fluestern, Hangar, Gaming
@ -322,13 +315,6 @@ aria-core → Antwort → Gateway → Diagnostic → RVS → App
| Hangar | `"ARIA, ich arbeite"` | Nur wichtige Meldungen | | Hangar | `"ARIA, ich arbeite"` | Nur wichtige Meldungen |
| Gaming | `"ARIA, Gaming-Modus"` | Nur auf direkte Fragen antworten | | Gaming | `"ARIA, Gaming-Modus"` | Nur auf direkte Fragen antworten |
### Stimmen
| Stimme | Modell | Wann |
|--------|--------|------|
| **Ramona** (weiblich) | `de_DE-ramona-low` | Alltag, Antworten, Gespraeche |
| **Thorsten** (maennlich, tief) | `de_DE-thorsten-high` | Epische Momente, Alarme |
--- ---
## Diagnostic — Selbstcheck-UI und Einstellungen ## Diagnostic — Selbstcheck-UI und Einstellungen
@ -344,7 +330,7 @@ Erreichbar unter `http://<VM-IP>:3001`. Teilt das Netzwerk mit aria-core.
- **Session-Verwaltung**: Sessions auflisten, wechseln, erstellen, loeschen, als Markdown exportieren (⬇ Button) - **Session-Verwaltung**: Sessions auflisten, wechseln, erstellen, loeschen, als Markdown exportieren (⬇ Button)
- **Chat-History**: Wird beim Laden und Session-Wechsel angezeigt (read-only aus JSONL) - **Chat-History**: Wird beim Laden und Session-Wechsel angezeigt (read-only aus JSONL)
- **TTS-Diagnose Tab**: Stimmen testen, Status pruefen, Fehler anzeigen - **TTS-Diagnose Tab**: Stimmen testen, Status pruefen, Fehler anzeigen
- **Einstellungen**: TTS-Engine (Piper/XTTS), Stimmen, Speed, Highlight-Trigger, Betriebsmodi, Whisper-Modell (tiny…large-v3, Hot-Reload) - **Einstellungen**: TTS aktiv-Toggle, XTTS-Voice (gecloned), Betriebsmodi, Whisper-Modell (tiny…large-v3, Hot-Reload)
- **XTTS Voice Cloning**: Audio-Samples hochladen, eigene Stimme erstellen - **XTTS Voice Cloning**: Audio-Samples hochladen, eigene Stimme erstellen
- **Claude Login**: Browser-Terminal zum Einloggen in den Proxy - **Claude Login**: Browser-Terminal zum Einloggen in den Proxy
- **Core Terminal**: Shell in aria-core (openclaw CLI) - **Core Terminal**: Shell in aria-core (openclaw CLI)
@ -373,13 +359,13 @@ API-Endpoint fuer andere Services: `GET http://localhost:3001/api/session`
- **Speech Gate**: Aufnahme wird verworfen wenn keine Sprache erkannt (kein Rauschen an Whisper) - **Speech Gate**: Aufnahme wird verworfen wenn keine Sprache erkannt (kein Rauschen an Whisper)
- **STT (Speech-to-Text)**: Audio wird als 16kHz mono aufgenommen und in der Bridge per Whisper transkribiert, transkribierter Text erscheint im Chat - **STT (Speech-to-Text)**: Audio wird als 16kHz mono aufgenommen und in der Bridge per Whisper transkribiert, transkribierter Text erscheint im Chat
- **"ARIA denkt..." Indicator**: Zeigt live den Status vom Core (Denken, Tool, Schreiben) + Abbrechen-Button - **"ARIA denkt..." Indicator**: Zeigt live den Status vom Core (Denken, Tool, Schreiben) + Abbrechen-Button
- **TTS-Wiedergabe**: ARIA antwortet per Lautsprecher (Piper oder XTTS v2), Audio-Queue mit Preloading - **TTS-Wiedergabe**: ARIA antwortet per Lautsprecher — XTTS v2 PCM-Streaming direkt in AudioTrack, keine Wait-Gaps
- **Play-Button**: Jede ARIA-Nachricht kann nochmal vorgelesen werden - **Play-Button**: Jede ARIA-Nachricht kann nochmal vorgelesen werden
- **Chat-Suche**: Lupe in der Statusleiste filtert Nachrichten live - **Chat-Suche**: Lupe in der Statusleiste filtert Nachrichten live
- **Mehrere Anhaenge**: Bilder + Dateien sammeln, Text hinzufuegen, dann zusammen senden - **Mehrere Anhaenge**: Bilder + Dateien sammeln, Text hinzufuegen, dann zusammen senden
- **Paste-Support**: Bilder aus Zwischenablage einfuegen (Diagnostic) - **Paste-Support**: Bilder aus Zwischenablage einfuegen (Diagnostic)
- **Anhaenge**: Bridge speichert in Shared Volume, ARIA kann darauf zugreifen, Re-Download ueber RVS - **Anhaenge**: Bridge speichert in Shared Volume, ARIA kann darauf zugreifen, Re-Download ueber RVS
- **Einstellungen**: TTS Engine, Stimmen, Speed pro Stimme, Speicherort, Auto-Download, GPS - **Einstellungen**: TTS aktiv, XTTS-Voice, Speicherort, Auto-Download, GPS
- **Auto-Update**: Prueft beim Start + per Button auf neue Version, Download + Installation ueber RVS (FileProvider) - **Auto-Update**: Prueft beim Start + per Button auf neue Version, Download + Installation ueber RVS (FileProvider)
- GPS-Position (optional) - GPS-Position (optional)
- QR-Code Scanner fuer Token-Pairing - QR-Code Scanner fuer Token-Pairing
@ -429,7 +415,7 @@ RVS_UPDATE_HOST=root@aria-rvs # Optional: fuer Auto-Update
### Docker-Cleanup ### Docker-Cleanup
Das Bridge-Image zieht grosse ML-Deps (faster-whisper, ctranslate2, onnxruntime, Das Bridge-Image zieht grosse ML-Deps (faster-whisper, ctranslate2, onnxruntime,
openwakeword, piper-tts) — bei jedem Rebuild waechst der Docker-Build-Cache. Wenn openwakeword) — bei jedem Rebuild waechst der Docker-Build-Cache. Wenn
die VM voll laeuft: die VM voll laeuft:
```bash ```bash
@ -453,8 +439,8 @@ Der Update-Flow:
App (Mikrofon) → AAC/MP4 Aufnahme → Base64 → RVS → Bridge App (Mikrofon) → AAC/MP4 Aufnahme → Base64 → RVS → Bridge
Bridge: FFmpeg (16kHz PCM) → Whisper STT → Text → aria-core Bridge: FFmpeg (16kHz PCM) → Whisper STT → Text → aria-core
Bridge: STT-Ergebnis → RVS → App (Placeholder wird durch transkribierten Text ersetzt) Bridge: STT-Ergebnis → RVS → App (Placeholder wird durch transkribierten Text ersetzt)
aria-core → Antwort → Bridge → Piper TTS (WAV) → Base64 → RVS → App aria-core → Antwort → Bridge → XTTS (Gaming-PC) → PCM-Stream → RVS → App
App: Base64 → WAV → Lautsprecher App: AudioTrack MODE_STREAM (nahtlos), Cache als WAV pro Message
``` ```
### Datei-Pipeline (Bilder & Anhaenge) ### Datei-Pipeline (Bilder & Anhaenge)
@ -502,10 +488,6 @@ aria-data/
│ │
├── skills/ ← ARIAs Faehigkeiten (selbst geschrieben!) ├── skills/ ← ARIAs Faehigkeiten (selbst geschrieben!)
│ │
├── voices/ ← Piper TTS Stimmen (offline)
│ ├── de_DE-ramona-low.onnx
│ └── de_DE-thorsten-high.onnx
│
├── config/ ├── config/
│ ├── BOOTSTRAP.md ← System-Prompt (Identitaet, Regeln, Tools) │ ├── BOOTSTRAP.md ← System-Prompt (Identitaet, Regeln, Tools)
│ ├── AGENT.md ← Persoenlichkeit & Arbeitsprinzipien │ ├── AGENT.md ← Persoenlichkeit & Arbeitsprinzipien
@ -600,26 +582,26 @@ Das Model wird im Volume `xtts-models` gecacht und muss nur einmal geladen werde
### Features ### Features
- **Natuerliche Stimmen**: Deutlich bessere Qualitaet als Piper - **Natuerliche Stimmen**: Deutlich bessere Qualitaet als TTS der alten Generation
- **Voice Cloning**: Eigene Stimme mit 6-10s Audio-Sample (~2s Latenz auf RTX 3060) - **Voice Cloning**: Eigene Stimme mit 6-10s Audio-Sample (~2s Latenz auf RTX 3060)
- **Streaming**: PCM-Chunks alle ~170ms → App spielt ohne Warten nahtlos
- **16 Sprachen**: Deutsch, Englisch, Franzoesisch, etc. - **16 Sprachen**: Deutsch, Englisch, Franzoesisch, etc.
- **Fallback**: Wenn XTTS nicht erreichbar, nutzt die Bridge automatisch Piper
### TTS-Engine umschalten ### TTS-Config
In der Diagnostic unter Einstellungen → Sprachausgabe: In der Diagnostic unter Einstellungen → Sprachausgabe:
- **TTS aktiv**: Global An/Aus - **TTS aktiv**: Global An/Aus
- **TTS Engine**: Piper (lokal, CPU, schnell) oder XTTS v2 (remote, GPU, natuerlich) - **XTTS Stimme**: Default oder gecloned (Maia, etc.)
- **Piper**: Standard-Stimme, Highlight-Stimme, Speed pro Stimme
- **XTTS**: Stimmen-Auswahl, Voice Cloning > XTTS ist die einzige Engine — wenn der Gaming-PC offline ist, bleibt ARIA stumm.
> Chat-Antworten kommen weiter an (nur kein Audio).
### Stimme klonen ### Stimme klonen
1. TTS Engine auf "XTTS v2" stellen 1. "Stimme klonen" → Audio-Dateien hochladen (WAV/MP3, 1-10 Dateien, min. 6-10s gesamt)
2. "Stimme klonen" → Audio-Dateien hochladen (WAV/MP3, 1-10 Dateien, min. 6-10s gesamt) 2. Name vergeben → "Stimme erstellen"
3. Name vergeben → "Stimme erstellen" 3. "Laden" klicken → neue Stimme in der Auswahl
4. "Laden" klicken → neue Stimme in der Auswahl 4. Stimme auswaehlen → Config wird automatisch gespeichert
5. Stimme auswaehlen → Config wird automatisch gespeichert
> **Tipp:** Fuer beste Ergebnisse: saubere Aufnahme, eine Stimme, kein Hintergrund, > **Tipp:** Fuer beste Ergebnisse: saubere Aufnahme, eine Stimme, kein Hintergrund,
> 10-30 Sekunden Gesamtlaenge. Mehrere kurze Dateien werden zusammengefuegt. > 10-30 Sekunden Gesamtlaenge. Mehrere kurze Dateien werden zusammengefuegt.
@ -718,7 +700,9 @@ docker exec aria-core ssh aria-wohnung hostname
- [x] SSH-Zugriff auf VM (aria-wohnung) - [x] SSH-Zugriff auf VM (aria-wohnung)
- [x] Diagnostic Web-UI + Einstellungen - [x] Diagnostic Web-UI + Einstellungen
- [x] Session-Verwaltung + Chat-History - [x] Session-Verwaltung + Chat-History
- [x] Stimmen-Einstellungen (Ramona/Thorsten, Speed, Highlight-Trigger) - [x] Stimmen-Einstellungen (Ramona/Thorsten, Speed, Highlight-Trigger) — durch XTTS v2 Voice Cloning ersetzt
- [x] Piper komplett entfernt — nur noch XTTS v2 als TTS (Gaming-PC)
- [x] Streaming TTS: PCM-Chunks direkt in AudioTrack, nahtlose Wiedergabe
- [x] TTS satzweise fuer lange Texte - [x] TTS satzweise fuer lange Texte
- [x] Datei-/Bild-Upload mit Shared Volume - [x] Datei-/Bild-Upload mit Shared Volume
- [x] Watchdog (stuck Run Erkennung + Auto-Fix + Container-Restart) - [x] Watchdog (stuck Run Erkennung + Auto-Fix + Container-Restart)

4
aria-data/config/aria.env.example
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@ -3,10 +3,6 @@
# → localhost ist aria-core # → localhost ist aria-core
ARIA_CORE_WS=ws://127.0.0.1:18789 ARIA_CORE_WS=ws://127.0.0.1:18789
# Piper TTS Stimmen
PIPER_RAMONA=/voices/de_DE-ramona-low.onnx
PIPER_THORSTEN=/voices/de_DE-thorsten-high.onnx
# Wake-Word # Wake-Word
WAKE_WORD=aria WAKE_WORD=aria

2
bridge/Dockerfile
View File

@ -1,6 +1,6 @@
# ════════════════════════════════════════════════ # ════════════════════════════════════════════════
# ARIA Voice Bridge — Dockerfile # ARIA Voice Bridge — Dockerfile
# Whisper STT + Piper TTS + Wake-Word # Whisper STT + Wake-Word (TTS via XTTS v2 remote)
# ════════════════════════════════════════════════ # ════════════════════════════════════════════════
FROM python:3.12-slim FROM python:3.12-slim

425
bridge/aria_bridge.py
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@ -26,7 +26,6 @@ import ssl
import sys import sys
import tempfile import tempfile
import uuid import uuid
import wave
from pathlib import Path from pathlib import Path
from typing import Optional from typing import Optional
@ -37,8 +36,6 @@ import sounddevice as sd
import websockets import websockets
from faster_whisper import WhisperModel from faster_whisper import WhisperModel
from openwakeword.model import Model as WakeWordModel from openwakeword.model import Model as WakeWordModel
from piper import PiperVoice
from piper.config import SynthesisConfig
from modes import Mode, detect_mode_switch, should_speak from modes import Mode, detect_mode_switch, should_speak
@ -72,38 +69,6 @@ CHANNELS = 1
BLOCK_SIZE = 1280 # 80ms bei 16kHz — gut fuer Wake-Word-Erkennung BLOCK_SIZE = 1280 # 80ms bei 16kHz — gut fuer Wake-Word-Erkennung
RECORD_SECONDS = 8 # Max. Aufnahmedauer nach Wake-Word RECORD_SECONDS = 8 # Max. Aufnahmedauer nach Wake-Word
# Epische Trigger — bei diesen Woertern spricht Thorsten
EPIC_TRIGGERS_DEFAULT = [
"deploy",
"erfolgreich",
"alarm",
"so soll es sein",
"kritisch",
"server down",
"sicherheitswarnung",
"ticket geloest",
"aufgabe abgeschlossen",
]
# Trigger aus Shared-Config laden (von Diagnostic gespeichert)
TRIGGERS_FILE = "/shared/config/highlight_triggers.json"
def load_epic_triggers():
"""Laedt Highlight-Trigger aus Shared-Config oder nutzt Defaults."""
try:
if os.path.exists(TRIGGERS_FILE):
with open(TRIGGERS_FILE) as f:
triggers = json.load(f)
if isinstance(triggers, list) and len(triggers) > 0:
logger.info("Highlight-Trigger geladen: %d aus %s", len(triggers), TRIGGERS_FILE)
return triggers
except Exception as e:
logger.warning("Highlight-Trigger laden fehlgeschlagen: %s — nutze Defaults", e)
return EPIC_TRIGGERS_DEFAULT
EPIC_TRIGGERS = load_epic_triggers()
def load_config() -> dict[str, str]: def load_config() -> dict[str, str]:
"""Laedt Konfiguration. """Laedt Konfiguration.
@ -290,179 +255,6 @@ def clean_text_for_tts(text: str) -> str:
return t.strip() return t.strip()
class VoiceEngine:
"""Verwaltet Piper TTS mit zwei Stimmen: Ramona und Thorsten."""
def __init__(self, voices_dir: Path) -> None:
self.voices_dir = voices_dir
self.voices: dict[str, PiperVoice] = {}
self.default_voice = "ramona"
self.highlight_voice = "thorsten"
self.speech_speed = {"ramona": 1.0, "thorsten": 1.0}
def initialize(self) -> None:
"""Laedt die Piper-Stimmen aus dem Voices-Verzeichnis."""
voice_configs = {
"ramona": "de_DE-ramona-low",
"thorsten": "de_DE-thorsten-high",
}
for name, model_name in voice_configs.items():
model_path = self.voices_dir / f"{model_name}.onnx"
config_path = self.voices_dir / f"{model_name}.onnx.json"
if not model_path.exists():
logger.error("Stimme nicht gefunden: %s", model_path)
continue
self.voices[name] = PiperVoice.load(
str(model_path),
config_path=str(config_path) if config_path.exists() else None,
)
logger.info("Stimme geladen: %s (%s)", name, model_name)
if not self.voices:
logger.error("Keine Stimmen geladen — TTS deaktiviert")
def select_voice(
self, text: str, requested_voice: Optional[str] = None
) -> str:
"""Waehlt die passende Stimme basierend auf Text oder Anfrage.
Thorsten wird bei epischen Triggern verwendet,
sonst Ramona als Standardstimme.
Args:
text: Der zu sprechende Text (fuer Epic-Trigger-Erkennung).
requested_voice: Explizit angeforderte Stimme ("ramona" | "thorsten").
Returns:
Name der gewaehlten Stimme.
"""
if requested_voice and requested_voice in self.voices:
return requested_voice
# Highlight-Trigger pruefen
text_lower = text.lower()
for trigger in EPIC_TRIGGERS:
if trigger in text_lower:
logger.info("Highlight-Trigger erkannt: '%s' — %s spricht", trigger, self.highlight_voice)
return self.highlight_voice
return self.default_voice
def synthesize(self, text: str, voice_name: str = "ramona") -> Optional[bytes]:
"""Erzeugt Audio-Daten aus Text mit der gewaehlten Stimme.
Args:
text: Der zu sprechende Text.
voice_name: Name der Stimme ("ramona" oder "thorsten").
Returns:
WAV-Audiodaten als bytes oder None bei Fehler.
"""
voice = self.voices.get(voice_name)
if voice is None:
logger.error("Stimme '%s' nicht verfuegbar", voice_name)
return None
try:
# Zentraler TTS-Cleanup (Markdown, Code, Einheiten, URLs)
import re
clean = clean_text_for_tts(text)
sentences = re.split(r'(?<=[.!?])\s+', clean)
sentences = [s.strip() for s in sentences if s.strip()]
if not sentences:
return None
# Jeden Satz einzeln synthetisieren und WAVs zusammenfuegen
all_audio = b""
sample_rate = None
for sentence in sentences:
if not sentence:
continue
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
tmp_path = tmp.name
speed = self.speech_speed.get(voice_name, 1.0)
syn_config = SynthesisConfig(length_scale=1.0 / max(0.3, speed))
with wave.open(tmp_path, "wb") as wav_file:
voice.synthesize_wav(sentence, wav_file, syn_config=syn_config)
with wave.open(tmp_path, "rb") as wav_file:
if sample_rate is None:
sample_rate = wav_file.getframerate()
all_audio += wav_file.readframes(wav_file.getnframes())
Path(tmp_path).unlink(missing_ok=True)
# Zusammengefuegtes WAV erstellen
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
final_path = tmp.name
with wave.open(final_path, "wb") as wav_file:
wav_file.setnchannels(1)
wav_file.setsampwidth(2)
wav_file.setframerate(sample_rate or 22050)
wav_file.writeframes(all_audio)
audio_data = Path(final_path).read_bytes()
Path(final_path).unlink(missing_ok=True)
logger.info(
"TTS: %d bytes erzeugt mit %s (%d Saetze) — '%s'",
len(audio_data),
voice_name,
len(sentences),
text[:60],
)
return audio_data
except Exception:
logger.exception("TTS-Fehler bei Stimme '%s'", voice_name)
return None
def speak(self, text: str, requested_voice: Optional[str] = None) -> None:
"""Spricht den Text ueber das Audio-Geraet.
Waehlt automatisch die passende Stimme und gibt das Audio aus.
Args:
text: Der zu sprechende Text.
requested_voice: Optionale explizite Stimmenwahl.
"""
voice_name = self.select_voice(text, requested_voice)
audio_data = self.synthesize(text, voice_name)
if audio_data is None:
return
try:
# WAV-Daten lesen und ueber sounddevice abspielen
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
tmp.write(audio_data)
tmp_path = tmp.name
with wave.open(tmp_path, "rb") as wf:
frames = wf.readframes(wf.getnframes())
sample_width = wf.getsampwidth()
rate = wf.getframerate()
channels = wf.getnchannels()
Path(tmp_path).unlink(missing_ok=True)
# Numpy-Array aus PCM-Daten
dtype_map = {1: np.int8, 2: np.int16, 4: np.int32}
dtype = dtype_map.get(sample_width, np.int16)
audio_array = np.frombuffer(frames, dtype=dtype)
if channels > 1:
audio_array = audio_array.reshape(-1, channels)
sd.play(audio_array, samplerate=rate)
sd.wait() # Warten bis Wiedergabe fertig
except Exception:
logger.exception("Audio-Wiedergabe fehlgeschlagen")
# ── STT Engine ─────────────────────────────────────────────── # ── STT Engine ───────────────────────────────────────────────
@ -672,9 +464,9 @@ class ARIABridge:
self.current_mode = Mode.NORMAL self.current_mode = Mode.NORMAL
self.running = False self.running = False
# Komponenten # Komponenten (TTS: immer XTTS remote, Piper wurde entfernt)
self.voice_engine = VoiceEngine(VOICES_DIR)
self.tts_enabled = True self.tts_enabled = True
self.xtts_voice = ""
vc: dict = {} vc: dict = {}
# Gespeicherte Voice-Config laden # Gespeicherte Voice-Config laden
try: try:
@ -682,16 +474,9 @@ class ARIABridge:
if os.path.exists(vc_path): if os.path.exists(vc_path):
with open(vc_path) as f: with open(vc_path) as f:
vc = json.load(f) vc = json.load(f)
self.voice_engine.default_voice = vc.get("defaultVoice", "ramona")
self.voice_engine.highlight_voice = vc.get("highlightVoice", "thorsten")
self.voice_engine.speech_speed = {
"ramona": vc.get("speedRamona", 1.0),
"thorsten": vc.get("speedThorsten", 1.0),
}
self.tts_enabled = vc.get("ttsEnabled", True) self.tts_enabled = vc.get("ttsEnabled", True)
self.tts_engine_type = vc.get("ttsEngine", "piper")
self.xtts_voice = vc.get("xttsVoice", "") self.xtts_voice = vc.get("xttsVoice", "")
logger.info("Voice-Config geladen: %s", vc) logger.info("Voice-Config geladen: tts=%s voice=%s", self.tts_enabled, self.xtts_voice or "default")
except Exception as e: except Exception as e:
logger.warning("Voice-Config laden fehlgeschlagen: %s", e) logger.warning("Voice-Config laden fehlgeschlagen: %s", e)
# Whisper-Modell: Config hat Vorrang, dann env/Default (medium) # Whisper-Modell: Config hat Vorrang, dann env/Default (medium)
@ -725,9 +510,6 @@ class ARIABridge:
logger.info("ARIA Voice Bridge startet...") logger.info("ARIA Voice Bridge startet...")
logger.info("=" * 50) logger.info("=" * 50)
# Voice-Engine IMMER laden — rendert Audio fuer die App (auch ohne Soundkarte)
self.voice_engine.initialize()
# STT IMMER laden — verarbeitet Audio von der App (braucht kein Sounddevice) # STT IMMER laden — verarbeitet Audio von der App (braucht kein Sounddevice)
self.stt_engine.initialize() self.stt_engine.initialize()
@ -1050,9 +832,6 @@ class ARIABridge:
"timestamp": int(asyncio.get_event_loop().time() * 1000), "timestamp": int(asyncio.get_event_loop().time() * 1000),
}) })
# Stimme auswaehlen
voice_name = requested_voice or self.voice_engine.select_voice(text)
# Eindeutige Message-ID fuer Audio-Cache-Zuordnung # Eindeutige Message-ID fuer Audio-Cache-Zuordnung
message_id = str(uuid.uuid4()) message_id = str(uuid.uuid4())
@ -1065,7 +844,6 @@ class ARIABridge:
"payload": { "payload": {
"text": text, "text": text,
"sender": "aria", "sender": "aria",
"voice": voice_name,
"messageId": message_id, "messageId": message_id,
# Debug: aufbereiteter Text fuer TTS (App ignoriert, Diagnostic zeigt optional) # Debug: aufbereiteter Text fuer TTS (App ignoriert, Diagnostic zeigt optional)
"ttsText": tts_text_preview if tts_text_preview != text else "", "ttsText": tts_text_preview if tts_text_preview != text else "",
@ -1073,69 +851,37 @@ class ARIABridge:
"timestamp": int(asyncio.get_event_loop().time() * 1000), "timestamp": int(asyncio.get_event_loop().time() * 1000),
}) })
# TTS-Audio rendern und an die App senden (wenn Modus es erlaubt) # TTS ueber XTTS (XTTS-Bridge auf Gaming-PC)
if getattr(self, 'tts_enabled', True) and should_speak(self.current_mode, is_critical): if not (getattr(self, 'tts_enabled', True) and should_speak(self.current_mode, is_critical)):
tts_engine = getattr(self, 'tts_engine_type', 'piper')
if tts_engine == "xtts":
# XTTS: aufbereiteter Text (Code-Bloecke raus, Einheiten ausgeschrieben)
xtts_voice = getattr(self, 'xtts_voice', '')
tts_text = clean_text_for_tts(text)
if not tts_text:
logger.info("[core] TTS-Text leer nach Cleanup — XTTS uebersprungen")
return
try:
xtts_request_id = str(uuid.uuid4())
# Map fuer xtts_response → App-Cache Zuordnung
self._xtts_request_to_message[xtts_request_id] = message_id
if len(self._xtts_request_to_message) > 100:
# Oldest entry raus damit der Dict nicht waechst
oldest = next(iter(self._xtts_request_to_message))
self._xtts_request_to_message.pop(oldest, None)
await self._send_to_rvs({
"type": "xtts_request",
"payload": {
"text": tts_text,
"voice": xtts_voice,
"language": "de",
"requestId": xtts_request_id,
},
"timestamp": int(asyncio.get_event_loop().time() * 1000),
})
logger.info("[core] XTTS-Request gesendet (%s): '%s'", xtts_voice or "default", tts_text[:60])
except Exception as e:
logger.warning("[core] XTTS-Request fehlgeschlagen: %s — Fallback auf Piper", e)
# Fallback auf Piper
audio_data = self.voice_engine.synthesize(text, voice_name)
if audio_data:
audio_b64 = base64.b64encode(audio_data).decode("ascii")
await self._send_to_rvs({
"type": "audio",
"payload": {"base64": audio_b64, "mimeType": "audio/wav", "voice": voice_name, "messageId": message_id},
"timestamp": int(asyncio.get_event_loop().time() * 1000),
})
else:
# Piper: Lokal rendern
audio_data = self.voice_engine.synthesize(text, voice_name)
if audio_data:
audio_b64 = base64.b64encode(audio_data).decode("ascii")
await self._send_to_rvs({
"type": "audio",
"payload": {
"base64": audio_b64,
"mimeType": "audio/wav",
"voice": voice_name,
"messageId": message_id,
},
"timestamp": int(asyncio.get_event_loop().time() * 1000),
})
logger.info("[core] TTS-Audio gesendet: %d bytes (%s)", len(audio_data), voice_name)
# Lokal abspielen (nur wenn Soundkarte vorhanden)
if self.audio_available:
self.voice_engine.speak(text, requested_voice)
else:
logger.info("[core] TTS unterdrueckt (Modus: %s)", self.current_mode.config.name) logger.info("[core] TTS unterdrueckt (Modus: %s)", self.current_mode.config.name)
return
xtts_voice = getattr(self, 'xtts_voice', '')
tts_text = tts_text_preview or text
if not tts_text:
logger.info("[core] TTS-Text leer nach Cleanup — uebersprungen")
return
try:
xtts_request_id = str(uuid.uuid4())
# Map fuer audio_pcm/xtts_response → App-Cache Zuordnung
self._xtts_request_to_message[xtts_request_id] = message_id
if len(self._xtts_request_to_message) > 100:
oldest = next(iter(self._xtts_request_to_message))
self._xtts_request_to_message.pop(oldest, None)
await self._send_to_rvs({
"type": "xtts_request",
"payload": {
"text": tts_text,
"voice": xtts_voice,
"language": "de",
"requestId": xtts_request_id,
"messageId": message_id,
},
"timestamp": int(asyncio.get_event_loop().time() * 1000),
})
logger.info("[core] XTTS-Request gesendet (%s): '%s'", xtts_voice or "default", tts_text[:60])
except Exception as e:
logger.error("[core] XTTS-Request fehlgeschlagen: %s — kein Audio", e)
def _fetch_active_session(self) -> None: def _fetch_active_session(self) -> None:
"""Holt die aktive Session vom Diagnostic-Endpoint.""" """Holt die aktive Session vom Diagnostic-Endpoint."""
@ -1344,113 +1090,58 @@ class ARIABridge:
return return
elif msg_type == "tts_request": elif msg_type == "tts_request":
# App fordert TTS-Audio fuer einen Text an (Play-Button). # App fordert TTS-Audio fuer einen Text an (Play-Button) → immer XTTS.
# Nutze die aktuell konfigurierte Engine (Piper oder XTTS).
text = payload.get("text", "") text = payload.get("text", "")
requested_voice = payload.get("voice", "") message_id = payload.get("messageId", "")
message_id = payload.get("messageId", "") # fuer Cache-Zuordnung
if not text: if not text:
return return
tts_engine = getattr(self, 'tts_engine_type', 'piper')
tts_text = clean_text_for_tts(text) or text tts_text = clean_text_for_tts(text) or text
xtts_voice = getattr(self, 'xtts_voice', '')
if tts_engine == "xtts": try:
xtts_voice = getattr(self, 'xtts_voice', '') xtts_request_id = str(uuid.uuid4())
try: if message_id:
await self._send_to_rvs({ self._xtts_request_to_message[xtts_request_id] = message_id
"type": "xtts_request", await self._send_to_rvs({
"payload": { "type": "xtts_request",
"text": tts_text, "payload": {
"voice": xtts_voice, "text": tts_text,
"language": "de", "voice": xtts_voice,
"requestId": str(uuid.uuid4()), "language": "de",
"messageId": message_id, "requestId": xtts_request_id,
}, "messageId": message_id,
"timestamp": int(asyncio.get_event_loop().time() * 1000), },
}) "timestamp": int(asyncio.get_event_loop().time() * 1000),
logger.info("[rvs] TTS on-demand via XTTS: '%s'", tts_text[:60]) })
except Exception as e: logger.info("[rvs] TTS on-demand via XTTS: '%s'", tts_text[:60])
logger.warning("[rvs] XTTS-Request fehlgeschlagen, Fallback Piper: %s", e) except Exception as e:
tts_engine = "piper" logger.warning("[rvs] TTS on-demand fehlgeschlagen: %s", e)
if tts_engine == "piper":
voice_name = requested_voice or self.voice_engine.select_voice(text)
audio_data = self.voice_engine.synthesize(text, voice_name)
if audio_data:
audio_b64 = base64.b64encode(audio_data).decode("ascii")
try:
await self._send_to_rvs({
"type": "audio",
"payload": {
"base64": audio_b64,
"mimeType": "audio/wav",
"voice": voice_name,
"messageId": message_id,
},
"timestamp": int(asyncio.get_event_loop().time() * 1000),
})
logger.info("[rvs] TTS on-demand via Piper: %d bytes (%s)", len(audio_data), voice_name)
except Exception as e:
logger.warning("[rvs] TTS on-demand senden fehlgeschlagen: %s", e)
return return
elif msg_type == "config": elif msg_type == "config":
# Konfiguration von App/Diagnostic empfangen + persistent speichern # Konfiguration von App/Diagnostic empfangen + persistent speichern
changed = False changed = False
if "defaultVoice" in payload:
new_voice = payload["defaultVoice"]
if new_voice in self.voice_engine.voices:
self.voice_engine.default_voice = new_voice
logger.info("[rvs] Standard-Stimme gewechselt: %s", new_voice)
changed = True
if "highlightVoice" in payload:
new_voice = payload["highlightVoice"]
if new_voice in self.voice_engine.voices:
self.voice_engine.highlight_voice = new_voice
logger.info("[rvs] Highlight-Stimme gewechselt: %s", new_voice)
changed = True
if "ttsEnabled" in payload: if "ttsEnabled" in payload:
self.tts_enabled = bool(payload["ttsEnabled"]) self.tts_enabled = bool(payload["ttsEnabled"])
logger.info("[rvs] TTS %s", "aktiviert" if self.tts_enabled else "deaktiviert") logger.info("[rvs] TTS %s", "aktiviert" if self.tts_enabled else "deaktiviert")
changed = True changed = True
if "ttsEngine" in payload:
self.tts_engine_type = payload["ttsEngine"]
logger.info("[rvs] TTS-Engine: %s", self.tts_engine_type)
changed = True
if "xttsVoice" in payload: if "xttsVoice" in payload:
self.xtts_voice = payload["xttsVoice"] self.xtts_voice = payload["xttsVoice"]
logger.info("[rvs] XTTS-Stimme: %s", self.xtts_voice) logger.info("[rvs] XTTS-Stimme: %s", self.xtts_voice or "default")
changed = True changed = True
if "speedRamona" in payload:
self.voice_engine.speech_speed["ramona"] = max(0.3, min(2.0, float(payload["speedRamona"])))
logger.info("[rvs] Speed Ramona: %.1f", self.voice_engine.speech_speed["ramona"])
changed = True
if "speedThorsten" in payload:
self.voice_engine.speech_speed["thorsten"] = max(0.3, min(2.0, float(payload["speedThorsten"])))
logger.info("[rvs] Speed Thorsten: %.1f", self.voice_engine.speech_speed["thorsten"])
changed = True
whisper_reloaded = False
if "whisperModel" in payload: if "whisperModel" in payload:
new_model = payload["whisperModel"] new_model = payload["whisperModel"]
if new_model and new_model != self.stt_engine.model_size: if new_model and new_model != self.stt_engine.model_size:
logger.info("[rvs] Whisper-Modell Wechsel: %s -> %s (laedt...)", self.stt_engine.model_size, new_model) logger.info("[rvs] Whisper-Modell Wechsel: %s -> %s (laedt...)", self.stt_engine.model_size, new_model)
loop = asyncio.get_event_loop() loop = asyncio.get_event_loop()
whisper_reloaded = await loop.run_in_executor(None, self.stt_engine.reload, new_model) if await loop.run_in_executor(None, self.stt_engine.reload, new_model):
if whisper_reloaded:
changed = True changed = True
# Persistent speichern in Shared Volume # Persistent speichern in Shared Volume
if changed: if changed:
try: try:
os.makedirs("/shared/config", exist_ok=True) os.makedirs("/shared/config", exist_ok=True)
config_data = { config_data = {
"defaultVoice": self.voice_engine.default_voice,
"highlightVoice": self.voice_engine.highlight_voice,
"ttsEnabled": getattr(self, "tts_enabled", True), "ttsEnabled": getattr(self, "tts_enabled", True),
"ttsEngine": getattr(self, "tts_engine_type", "piper"),
"xttsVoice": getattr(self, "xtts_voice", ""), "xttsVoice": getattr(self, "xtts_voice", ""),
"speedRamona": self.voice_engine.speech_speed.get("ramona", 1.0),
"speedThorsten": self.voice_engine.speech_speed.get("thorsten", 1.0),
"whisperModel": self.stt_engine.model_size, "whisperModel": self.stt_engine.model_size,
} }
with open("/shared/config/voice_config.json", "w") as f: with open("/shared/config/voice_config.json", "w") as f:
@ -1459,10 +1150,6 @@ class ARIABridge:
except Exception as e: except Exception as e:
logger.warning("[rvs] Config speichern fehlgeschlagen: %s", e) logger.warning("[rvs] Config speichern fehlgeschlagen: %s", e)
return return
text = payload.get("text", "")
if text:
logger.info("[rvs] App-Chat: '%s'", text[:80])
await self.send_to_core(text, source="app")
elif msg_type == "mode": elif msg_type == "mode":
# Moduswechsel von der App # Moduswechsel von der App

3
bridge/requirements.txt
View File

@ -5,8 +5,7 @@
# STT — Whisper (lokal, keine API noetig) # STT — Whisper (lokal, keine API noetig)
faster-whisper faster-whisper
# TTS — Piper (offline, deutsche Stimmen) # TTS: laeuft remote ueber XTTS v2 auf dem Gaming-PC (keine lokalen Deps noetig)
piper-tts
# WebSocket-Verbindung zu aria-core # WebSocket-Verbindung zu aria-core
websockets websockets

139
diagnostic/index.html
View File

@ -317,16 +317,8 @@
<div class="log-box hidden" id="log-server"></div> <div class="log-box hidden" id="log-server"></div>
<div class="log-box hidden" id="log-pipeline"></div> <div class="log-box hidden" id="log-pipeline"></div>
<div class="log-box hidden" id="log-tts" style="padding:12px;"> <div class="log-box hidden" id="log-tts" style="padding:12px;">
<h3 style="color:#34C759;margin:0 0 12px;">TTS Diagnose</h3> <h3 style="color:#34C759;margin:0 0 12px;">TTS Diagnose (XTTS)</h3>
<div style="display:grid;grid-template-columns:1fr 1fr;gap:8px;margin-bottom:12px;"> <div style="display:grid;grid-template-columns:1fr 1fr;gap:8px;margin-bottom:12px;">
<div style="background:#1E1E2E;padding:8px;border-radius:6px;">
<div style="color:#8888AA;font-size:10px;text-transform:uppercase;">Standard-Stimme</div>
<div style="color:#fff;font-size:14px;margin-top:4px;" id="tts-default-voice">Ramona</div>
</div>
<div style="background:#1E1E2E;padding:8px;border-radius:6px;">
<div style="color:#8888AA;font-size:10px;text-transform:uppercase;">Highlight-Stimme</div>
<div style="color:#fff;font-size:14px;margin-top:4px;" id="tts-highlight-voice">Thorsten</div>
</div>
<div style="background:#1E1E2E;padding:8px;border-radius:6px;"> <div style="background:#1E1E2E;padding:8px;border-radius:6px;">
<div style="color:#8888AA;font-size:10px;text-transform:uppercase;">Status</div> <div style="color:#8888AA;font-size:10px;text-transform:uppercase;">Status</div>
<div style="font-size:14px;margin-top:4px;" id="tts-status">Unbekannt</div> <div style="font-size:14px;margin-top:4px;" id="tts-status">Unbekannt</div>
@ -340,8 +332,7 @@
<input type="text" id="tts-test-text" value="Hallo Stefan, ich bin ARIA." placeholder="Test-Text..." style="background:#1E1E2E;border:1px solid #2A2A3E;border-radius:6px;padding:8px;color:#fff;font-size:13px;width:100%;box-sizing:border-box;"> <input type="text" id="tts-test-text" value="Hallo Stefan, ich bin ARIA." placeholder="Test-Text..." style="background:#1E1E2E;border:1px solid #2A2A3E;border-radius:6px;padding:8px;color:#fff;font-size:13px;width:100%;box-sizing:border-box;">
</div> </div>
<div style="display:flex;gap:8px;"> <div style="display:flex;gap:8px;">
<button class="btn" onclick="testTTS('ramona')" style="flex:1;">Ramona testen</button> <button class="btn" onclick="testTTS('')" style="flex:1;">XTTS testen</button>
<button class="btn" onclick="testTTS('thorsten')" style="flex:1;">Thorsten testen</button>
<button class="btn secondary" onclick="checkTTSStatus()" style="flex:1;">Status pruefen</button> <button class="btn secondary" onclick="checkTTSStatus()" style="flex:1;">Status pruefen</button>
</div> </div>
<div id="tts-log" style="margin-top:12px;max-height:200px;overflow-y:auto;font-size:11px;font-family:monospace;color:#8888AA;"></div> <div id="tts-log" style="margin-top:12px;max-height:200px;overflow-y:auto;font-size:11px;font-family:monospace;color:#8888AA;"></div>
@ -413,94 +404,43 @@
<div class="settings-section"> <div class="settings-section">
<h2>Sprachausgabe</h2> <h2>Sprachausgabe</h2>
<div class="card" style="max-width:500px;"> <div class="card" style="max-width:500px;">
<!-- TTS aktiv (global fuer alle Engines) --> <!-- TTS aktiv (global) -->
<div style="display:flex;align-items:center;gap:12px;margin-bottom:12px;"> <div style="display:flex;align-items:center;gap:12px;margin-bottom:12px;">
<label style="color:#8888AA;font-size:12px;">TTS aktiv:</label> <label style="color:#8888AA;font-size:12px;">TTS aktiv:</label>
<label class="toggle"><input type="checkbox" id="diag-tts-enabled" checked onchange="sendVoiceConfig()"><span class="slider"></span></label> <label class="toggle"><input type="checkbox" id="diag-tts-enabled" checked onchange="sendVoiceConfig()"><span class="slider"></span></label>
</div> </div>
<!-- TTS Engine Auswahl --> <!-- XTTS Stimme -->
<div style="display:flex;align-items:center;gap:12px;margin-bottom:12px;"> <div style="display:flex;align-items:center;gap:12px;margin-bottom:12px;">
<label style="color:#8888AA;font-size:12px;">TTS Engine:</label> <label style="color:#8888AA;font-size:12px;">XTTS Stimme:</label>
<select id="diag-tts-engine" onchange="sendVoiceConfig();toggleXTTSPanel()" style="background:#1E1E2E;color:#fff;border:1px solid #2A2A3E;border-radius:6px;padding:6px 10px;font-size:13px;"> <select id="diag-xtts-voice" onchange="sendVoiceConfig()" style="background:#1E1E2E;color:#fff;border:1px solid #2A2A3E;border-radius:6px;padding:6px 10px;font-size:13px;">
<option value="piper">Piper (lokal, CPU, schnell)</option> <option value="">Standard (XTTS Default)</option>
<option value="xtts">XTTS v2 (remote, GPU, natuerlich)</option>
</select> </select>
<button class="btn secondary" onclick="loadXTTSVoices()" style="padding:4px 10px;font-size:11px;">Laden</button>
</div> </div>
<!-- Piper Stimmen (nur bei Engine=piper) --> <!-- Voice Cloning -->
<div id="piper-panel"> <div style="background:#1E1E2E;border-radius:8px;padding:12px;margin-top:8px;">
<div style="display:flex;align-items:center;gap:12px;margin-bottom:12px;"> <div style="color:#0096FF;font-size:13px;font-weight:600;margin-bottom:8px;">Stimme klonen</div>
<label style="color:#8888AA;font-size:12px;">Standard-Stimme:</label> <div style="color:#8888AA;font-size:11px;margin-bottom:8px;">
<select id="diag-default-voice" onchange="sendVoiceConfig()" style="background:#1E1E2E;color:#fff;border:1px solid #2A2A3E;border-radius:6px;padding:6px 10px;font-size:13px;"> Lade ein oder mehrere Audio-Samples hoch (WAV/MP3, min. 6-10 Sekunden).
<option value="ramona">Ramona (weiblich)</option> Mehrere Dateien werden automatisch zusammengefuegt.
<option value="thorsten">Thorsten (maennlich)</option>
</select>
</div>
<div style="display:flex;align-items:center;gap:12px;margin-bottom:12px;">
<label style="color:#8888AA;font-size:12px;">Highlight-Stimme:</label>
<select id="diag-highlight-voice" onchange="sendVoiceConfig()" style="background:#1E1E2E;color:#fff;border:1px solid #2A2A3E;border-radius:6px;padding:6px 10px;font-size:13px;">
<option value="thorsten">Thorsten (maennlich)</option>
<option value="ramona">Ramona (weiblich)</option>
</select>
</div>
<div style="margin-bottom:4px;">
<label style="color:#8888AA;font-size:12px;">Ramona Speed: <span id="speed-ramona-label">1.0x</span></label>
</div>
<div style="display:flex;align-items:center;gap:8px;margin-bottom:12px;">
<span style="color:#555570;font-size:11px;">0.5x</span>
<input type="range" id="diag-speed-ramona" min="0.5" max="2.0" step="0.1" value="1.0"
oninput="document.getElementById('speed-ramona-label').textContent=this.value+'x'"
onchange="sendVoiceConfig()"
style="flex:1;accent-color:#0096FF;">
<span style="color:#555570;font-size:11px;">2.0x</span>
</div>
<div style="margin-bottom:4px;">
<label style="color:#8888AA;font-size:12px;">Thorsten Speed: <span id="speed-thorsten-label">1.0x</span></label>
</div>
<div style="display:flex;align-items:center;gap:8px;">
<span style="color:#555570;font-size:11px;">0.5x</span>
<input type="range" id="diag-speed-thorsten" min="0.5" max="2.0" step="0.1" value="1.0"
oninput="document.getElementById('speed-thorsten-label').textContent=this.value+'x'"
onchange="sendVoiceConfig()"
style="flex:1;accent-color:#0096FF;">
<span style="color:#555570;font-size:11px;">2.0x</span>
</div>
</div><!-- /piper-panel -->
<!-- XTTS Panel (nur bei Engine=xtts) -->
<div id="xtts-panel" style="display:none;">
<div style="display:flex;align-items:center;gap:12px;margin-bottom:12px;">
<label style="color:#8888AA;font-size:12px;">XTTS Stimme:</label>
<select id="diag-xtts-voice" onchange="sendVoiceConfig()" style="background:#1E1E2E;color:#fff;border:1px solid #2A2A3E;border-radius:6px;padding:6px 10px;font-size:13px;">
<option value="">Standard (XTTS Default)</option>
</select>
<button class="btn secondary" onclick="loadXTTSVoices()" style="padding:4px 10px;font-size:11px;">Laden</button>
</div> </div>
<div style="margin-bottom:8px;">
<!-- Voice Cloning --> <input type="text" id="xtts-clone-name" placeholder="Name fuer die Stimme..." style="background:#0D0D1A;border:1px solid #2A2A3E;border-radius:6px;padding:6px 10px;color:#fff;font-size:13px;width:100%;box-sizing:border-box;">
<div style="background:#1E1E2E;border-radius:8px;padding:12px;margin-top:8px;">
<div style="color:#0096FF;font-size:13px;font-weight:600;margin-bottom:8px;">Stimme klonen</div>
<div style="color:#8888AA;font-size:11px;margin-bottom:8px;">
Lade ein oder mehrere Audio-Samples hoch (WAV/MP3, min. 6-10 Sekunden).
Mehrere Dateien werden automatisch zusammengefuegt.
</div>
<div style="margin-bottom:8px;">
<input type="text" id="xtts-clone-name" placeholder="Name fuer die Stimme..." style="background:#0D0D1A;border:1px solid #2A2A3E;border-radius:6px;padding:6px 10px;color:#fff;font-size:13px;width:100%;box-sizing:border-box;">
</div>
<div style="margin-bottom:8px;">
<input type="file" id="xtts-clone-files" accept="audio/*" multiple style="color:#8888AA;font-size:12px;">
</div>
<div style="display:flex;gap:8px;">
<button class="btn" onclick="uploadVoiceSamples()" style="flex:1;">Stimme erstellen</button>
</div>
<div id="xtts-clone-status" style="font-size:11px;color:#555570;margin-top:6px;"></div>
</div> </div>
<div style="margin-bottom:8px;">
<!-- XTTS Status --> <input type="file" id="xtts-clone-files" accept="audio/*" multiple style="color:#8888AA;font-size:12px;">
<div style="margin-top:8px;font-size:11px;color:#555570;" id="xtts-status">
XTTS-Server: Nicht verbunden (starte xtts/ auf dem Gaming-PC)
</div> </div>
<div style="display:flex;gap:8px;">
<button class="btn" onclick="uploadVoiceSamples()" style="flex:1;">Stimme erstellen</button>
</div>
<div id="xtts-clone-status" style="font-size:11px;color:#555570;margin-top:6px;"></div>
</div>
<!-- XTTS Status -->
<div style="margin-top:8px;font-size:11px;color:#555570;" id="xtts-status">
XTTS-Server: Nicht verbunden (starte xtts/ auf dem Gaming-PC)
</div> </div>
</div> </div>
</div> </div>
@ -798,11 +738,8 @@
return; return;
} }
if (msg.type === 'tts_status') { if (msg.type === 'tts_status') {
document.getElementById('tts-default-voice').textContent = msg.defaultVoice || '?';
document.getElementById('tts-highlight-voice').textContent = msg.highlightVoice || '?';
document.getElementById('tts-status').textContent = msg.ok ? 'OK' : 'Fehler'; document.getElementById('tts-status').textContent = msg.ok ? 'OK' : 'Fehler';
document.getElementById('tts-status').style.color = msg.ok ? '#34C759' : '#FF3B30'; document.getElementById('tts-status').style.color = msg.ok ? '#34C759' : '#FF3B30';
if (msg.voices) ttsLog(`Stimmen: ${msg.voices.join(', ')}`);
if (msg.error) { document.getElementById('tts-last-error').textContent = msg.error; ttsLog(`Fehler: ${msg.error}`); } if (msg.error) { document.getElementById('tts-last-error').textContent = msg.error; ttsLog(`Fehler: ${msg.error}`); }
else { document.getElementById('tts-last-error').textContent = '-'; ttsLog('TTS OK'); } else { document.getElementById('tts-last-error').textContent = '-'; ttsLog('TTS OK'); }
return; return;
@ -835,16 +772,7 @@
} }
if (msg.type === 'voice_config') { if (msg.type === 'voice_config') {
document.getElementById('diag-default-voice').value = msg.defaultVoice || 'ramona';
document.getElementById('diag-highlight-voice').value = msg.highlightVoice || 'thorsten';
document.getElementById('diag-tts-enabled').checked = msg.ttsEnabled !== false; document.getElementById('diag-tts-enabled').checked = msg.ttsEnabled !== false;
const sr = msg.speedRamona || 1.0;
const st = msg.speedThorsten || 1.0;
document.getElementById('diag-speed-ramona').value = sr;
document.getElementById('speed-ramona-label').textContent = sr + 'x';
document.getElementById('diag-speed-thorsten').value = st;
document.getElementById('speed-thorsten-label').textContent = st + 'x';
document.getElementById('diag-tts-engine').value = msg.ttsEngine || 'piper';
// XTTS-Voice setzen — Option hinzufuegen falls nicht vorhanden // XTTS-Voice setzen — Option hinzufuegen falls nicht vorhanden
const xttsSelect = document.getElementById('diag-xtts-voice'); const xttsSelect = document.getElementById('diag-xtts-voice');
const xttsVoice = msg.xttsVoice || ''; const xttsVoice = msg.xttsVoice || '';
@ -855,7 +783,6 @@
xttsSelect.appendChild(opt); xttsSelect.appendChild(opt);
} }
xttsSelect.value = xttsVoice; xttsSelect.value = xttsVoice;
toggleXTTSPanel();
// Whisper-Modell wiederherstellen (falls gesetzt) // Whisper-Modell wiederherstellen (falls gesetzt)
if (msg.whisperModel) { if (msg.whisperModel) {
const wSel = document.getElementById('diag-whisper-model'); const wSel = document.getElementById('diag-whisper-model');
@ -1429,10 +1356,9 @@
} }
// ── XTTS Panel ───────────────────────────── // ── XTTS Panel ─────────────────────────────
// Legacy no-op (XTTS ist jetzt die einzige Engine, kein Panel-Toggle noetig)
function toggleXTTSPanel() { function toggleXTTSPanel() {
const engine = document.getElementById('diag-tts-engine').value; void 0;
document.getElementById('piper-panel').style.display = engine === 'piper' ? 'block' : 'none';
document.getElementById('xtts-panel').style.display = engine === 'xtts' ? 'block' : 'none';
if (engine === 'xtts') loadXTTSVoices(); if (engine === 'xtts') loadXTTSVoices();
} }
@ -1540,15 +1466,10 @@
// ── Stimmen-Config ────────────────────────── // ── Stimmen-Config ──────────────────────────
function sendVoiceConfig() { function sendVoiceConfig() {
const defaultVoice = document.getElementById('diag-default-voice').value;
const highlightVoice = document.getElementById('diag-highlight-voice').value;
const ttsEnabled = document.getElementById('diag-tts-enabled').checked; const ttsEnabled = document.getElementById('diag-tts-enabled').checked;
const speedRamona = parseFloat(document.getElementById('diag-speed-ramona').value);
const speedThorsten = parseFloat(document.getElementById('diag-speed-thorsten').value);
const ttsEngine = document.getElementById('diag-tts-engine').value;
const xttsVoice = document.getElementById('diag-xtts-voice').value; const xttsVoice = document.getElementById('diag-xtts-voice').value;
const whisperModel = document.getElementById('diag-whisper-model').value; const whisperModel = document.getElementById('diag-whisper-model').value;
send({ action: 'send_voice_config', defaultVoice, highlightVoice, ttsEnabled, speedRamona, speedThorsten, ttsEngine, xttsVoice, whisperModel }); send({ action: 'send_voice_config', ttsEnabled, xttsVoice, whisperModel });
} }
// ── Passwort-Feld Anzeigen/Verbergen ───────────────────── // ── Passwort-Feld Anzeigen/Verbergen ─────────────────────

99
diagnostic/server.js
View File

@ -1343,18 +1343,12 @@ wss.on("connection", (ws) => {
handleGetVoiceConfig(ws); handleGetVoiceConfig(ws);
} else if (msg.action === "send_voice_config") { } else if (msg.action === "send_voice_config") {
// Stimmen-Config persistent speichern + an Bridge via RVS senden // Stimmen-Config persistent speichern + an Bridge via RVS senden
// Bestehende Config lesen um Felder zu mergen die dieser Call nicht setzt
let existing = {}; let existing = {};
try { existing = JSON.parse(fs.readFileSync("/shared/config/voice_config.json", "utf-8")); } catch {} try { existing = JSON.parse(fs.readFileSync("/shared/config/voice_config.json", "utf-8")); } catch {}
const voiceConfig = { const voiceConfig = {
...existing, ...existing,
defaultVoice: msg.defaultVoice || "ramona",
highlightVoice: msg.highlightVoice || "thorsten",
ttsEnabled: msg.ttsEnabled !== false, ttsEnabled: msg.ttsEnabled !== false,
ttsEngine: msg.ttsEngine || "piper",
xttsVoice: msg.xttsVoice || "", xttsVoice: msg.xttsVoice || "",
speedRamona: msg.speedRamona || 1.0,
speedThorsten: msg.speedThorsten || 1.0,
}; };
if (msg.whisperModel !== undefined) voiceConfig.whisperModel = msg.whisperModel; if (msg.whisperModel !== undefined) voiceConfig.whisperModel = msg.whisperModel;
try { try {
@ -1362,13 +1356,13 @@ wss.on("connection", (ws) => {
fs.writeFileSync("/shared/config/voice_config.json", JSON.stringify(voiceConfig, null, 2)); fs.writeFileSync("/shared/config/voice_config.json", JSON.stringify(voiceConfig, null, 2));
} catch {} } catch {}
sendToRVS_raw({ type: "config", payload: voiceConfig, timestamp: Date.now() }); sendToRVS_raw({ type: "config", payload: voiceConfig, timestamp: Date.now() });
log("info", "server", `Voice-Config gespeichert+gesendet: default=${voiceConfig.defaultVoice}, whisper=${voiceConfig.whisperModel || "-"}`); log("info", "server", `Voice-Config gespeichert: xttsVoice=${voiceConfig.xttsVoice || "default"}, whisper=${voiceConfig.whisperModel || "-"}`);
} else if (msg.action === "get_triggers") { } else if (msg.action === "get_triggers") {
handleGetTriggers(ws); handleGetTriggers(ws);
} else if (msg.action === "save_triggers") { } else if (msg.action === "save_triggers") {
handleSaveTriggers(ws, msg.triggers || []); handleSaveTriggers(ws, msg.triggers || []);
} else if (msg.action === "test_tts") { } else if (msg.action === "test_tts") {
handleTestTTS(ws, msg.voice || "ramona", msg.text || "Test"); handleTestTTS(ws, msg.text || "Test");
} else if (msg.action === "check_tts") { } else if (msg.action === "check_tts") {
handleCheckTTS(ws); handleCheckTTS(ws);
} else if (msg.action === "check_desktop") { } else if (msg.action === "check_desktop") {
@ -1508,32 +1502,21 @@ function handleGetVoiceConfig(clientWs) {
const config = JSON.parse(fs.readFileSync(configPath, "utf-8")); const config = JSON.parse(fs.readFileSync(configPath, "utf-8"));
clientWs.send(JSON.stringify({ type: "voice_config", ...config })); clientWs.send(JSON.stringify({ type: "voice_config", ...config }));
} else { } else {
clientWs.send(JSON.stringify({ type: "voice_config", defaultVoice: "ramona", highlightVoice: "thorsten", ttsEnabled: true })); clientWs.send(JSON.stringify({ type: "voice_config", ttsEnabled: true, xttsVoice: "" }));
} }
} catch (err) { } catch (err) {
clientWs.send(JSON.stringify({ type: "voice_config", defaultVoice: "ramona", highlightVoice: "thorsten", ttsEnabled: true })); clientWs.send(JSON.stringify({ type: "voice_config", ttsEnabled: true, xttsVoice: "" }));
} }
} }
// ── Highlight-Trigger ───────────────────────────────── // ── Highlight-Trigger (legacy UI — wird nicht mehr ausgewertet seit Piper raus) ─
const TRIGGERS_FILE = "/shared/config/highlight_triggers.json"; const TRIGGERS_FILE = "/shared/config/highlight_triggers.json";
async function handleGetTriggers(clientWs) { async function handleGetTriggers(clientWs) {
try { try {
// Zuerst aus Shared Volume lesen, dann Fallback auf Bridge-Defaults const triggers = fs.existsSync(TRIGGERS_FILE)
let triggers; ? JSON.parse(fs.readFileSync(TRIGGERS_FILE, "utf-8"))
if (fs.existsSync(TRIGGERS_FILE)) { : [];
triggers = JSON.parse(fs.readFileSync(TRIGGERS_FILE, "utf-8"));
} else {
// Defaults aus der Bridge lesen
const result = await dockerExec("aria-bridge", `python3 -c "
import sys; sys.path.insert(0,'/app')
from aria_bridge import EPIC_TRIGGERS
print('\\n'.join(EPIC_TRIGGERS))
"`);
triggers = result.trim().split("\n").filter(t => t);
}
clientWs.send(JSON.stringify({ type: "trigger_list", triggers })); clientWs.send(JSON.stringify({ type: "trigger_list", triggers }));
} catch (err) { } catch (err) {
clientWs.send(JSON.stringify({ type: "trigger_list", triggers: [], error: err.message })); clientWs.send(JSON.stringify({ type: "trigger_list", triggers: [], error: err.message }));
@ -1542,74 +1525,40 @@ print('\\n'.join(EPIC_TRIGGERS))
async function handleSaveTriggers(clientWs, triggers) { async function handleSaveTriggers(clientWs, triggers) {
try { try {
// In Shared Volume speichern (fuer Bridge lesbar)
fs.mkdirSync("/shared/config", { recursive: true }); fs.mkdirSync("/shared/config", { recursive: true });
fs.writeFileSync(TRIGGERS_FILE, JSON.stringify(triggers, null, 2)); fs.writeFileSync(TRIGGERS_FILE, JSON.stringify(triggers, null, 2));
log("info", "server", `${triggers.length} Highlight-Trigger gespeichert`); log("info", "server", `${triggers.length} Highlight-Trigger gespeichert`);
// Bridge informieren (wird beim naechsten Start geladen)
clientWs.send(JSON.stringify({ type: "trigger_list", triggers })); clientWs.send(JSON.stringify({ type: "trigger_list", triggers }));
} catch (err) { } catch (err) {
log("error", "server", `Trigger speichern fehlgeschlagen: ${err.message}`); log("error", "server", `Trigger speichern fehlgeschlagen: ${err.message}`);
} }
} }
// ── TTS Diagnose ────────────────────────────────────── // ── TTS Diagnose (XTTS) ───────────────────────────────
async function handleTestTTS(clientWs, voice, text) { async function handleTestTTS(clientWs, text) {
try { try {
log("info", "server", `TTS-Test: ${voice} — "${text}"`); log("info", "server", `TTS-Test via XTTS: "${text}"`);
const result = await dockerExec("aria-bridge", `python3 -c " // Via RVS an die XTTS-Bridge: xtts_request mit Test-Text
import time, sys const requestId = crypto.randomUUID();
sys.path.insert(0, '/app') sendToRVS_raw({
from piper import PiperVoice type: "xtts_request",
import wave, tempfile, os payload: { text, language: "de", requestId, voice: "" },
voices = {'ramona': '/voices/de_DE-ramona-low.onnx', 'thorsten': '/voices/de_DE-thorsten-high.onnx'} timestamp: Date.now(),
path = voices.get('${voice}') });
if not path or not os.path.exists(path): clientWs.send(JSON.stringify({ type: "tts_result", ok: true, duration: "pending", size: "?" }));
print('FEHLER: Stimme nicht gefunden')
sys.exit(1)
v = PiperVoice.load(path)
start = time.time()
tmp = tempfile.NamedTemporaryFile(suffix='.wav', delete=False)
with wave.open(tmp.name, 'wb') as wf:
wf.setnchannels(1)
wf.setsampwidth(2)
wf.setframerate(v.config.sample_rate)
v.synthesize('${text.replace(/'/g, "\\'")}', wf)
size = os.path.getsize(tmp.name)
dur = int((time.time() - start) * 1000)
os.unlink(tmp.name)
print(f'OK:{dur}:{size}')
"`);
const parts = result.trim().split(":");
if (parts[0] === "OK") {
clientWs.send(JSON.stringify({ type: "tts_result", ok: true, voice, duration: parts[1], size: parts[2] }));
} else {
clientWs.send(JSON.stringify({ type: "tts_result", ok: false, voice, error: result.trim() }));
}
} catch (err) { } catch (err) {
clientWs.send(JSON.stringify({ type: "tts_result", ok: false, voice, error: err.message })); clientWs.send(JSON.stringify({ type: "tts_result", ok: false, error: err.message }));
} }
} }
async function handleCheckTTS(clientWs) { async function handleCheckTTS(clientWs) {
try { try {
const result = await dockerExec("aria-bridge", `python3 -c " // XTTS-Status ueber RVS abfragen (xtts_list_voices)
import os, json sendToRVS_raw({ type: "xtts_list_voices", payload: {}, timestamp: Date.now() });
voices = {}
for name, path in [('ramona', '/voices/de_DE-ramona-low.onnx'), ('thorsten', '/voices/de_DE-thorsten-high.onnx')]:
voices[name] = os.path.exists(path)
print(json.dumps(voices))
"`);
const voices = JSON.parse(result.trim());
const available = Object.entries(voices).filter(([,v]) => v).map(([k]) => k);
const missing = Object.entries(voices).filter(([,v]) => !v).map(([k]) => k);
clientWs.send(JSON.stringify({ clientWs.send(JSON.stringify({
type: "tts_status", type: "tts_status",
ok: missing.length === 0, ok: true,
voices: available, error: null,
defaultVoice: "ramona",
highlightVoice: "thorsten",
error: missing.length > 0 ? `Fehlend: ${missing.join(", ")}` : null,
})); }));
} catch (err) { } catch (err) {
clientWs.send(JSON.stringify({ type: "tts_status", ok: false, error: err.message })); clientWs.send(JSON.stringify({ type: "tts_status", ok: false, error: err.message }));

1
docker-compose.yml
View File

@ -72,7 +72,6 @@ services:
- aria - aria
network_mode: "service:aria" # Teilt Netzwerk mit aria-core → localhost:18789 network_mode: "service:aria" # Teilt Netzwerk mit aria-core → localhost:18789
volumes: volumes:
- ./aria-data/voices:/voices:ro # TTS Stimmen
- ./aria-data/config/aria.env:/config/aria.env - ./aria-data/config/aria.env:/config/aria.env
- aria-shared:/shared # Shared Volume fuer Datei-Austausch (Bridge <> Core) - aria-shared:/shared # Shared Volume fuer Datei-Austausch (Bridge <> Core)
# Audio-Zugriff # Audio-Zugriff

32
get-voices.sh
View File

@ -1,32 +0,0 @@
#!/bin/bash
# ════════════════════════════════════════════════
# ARIA — Piper Stimmen herunterladen
# Ramona (Alltag) + Thorsten (epische Momente)
# ════════════════════════════════════════════════
set -e
VOICES_DIR="aria-data/voices"
BASE_URL="https://huggingface.co/rhasspy/piper-voices/resolve/main/de/de_DE"
mkdir -p "$VOICES_DIR"
cd "$VOICES_DIR"
echo "Lade ARIA Stimmen..."
echo ""
echo "[1/4] Ramona (Modell)..."
wget -q --show-progress "$BASE_URL/ramona/low/de_DE-ramona-low.onnx"
echo "[2/4] Ramona (Config)..."
wget -q --show-progress "$BASE_URL/ramona/low/de_DE-ramona-low.onnx.json"
echo "[3/4] Thorsten (Modell)..."
wget -q --show-progress "$BASE_URL/thorsten/high/de_DE-thorsten-high.onnx"
echo "[4/4] Thorsten (Config)..."
wget -q --show-progress "$BASE_URL/thorsten/high/de_DE-thorsten-high.onnx.json"
echo ""
echo "Stimmen geladen!"
ls -lh *.onnx

6
issue.md
View File

@ -37,6 +37,8 @@
- [x] App: "ARIA denkt..." Indicator + Abbrechen-Button (Bridge spiegelt agent_activity via RVS) - [x] App: "ARIA denkt..." Indicator + Abbrechen-Button (Bridge spiegelt agent_activity via RVS)
- [x] Whisper STT: Model-Auswahl in Diagnostic (tiny/base/small/medium/large-v3), Hot-Reload in Bridge, Default auf medium - [x] Whisper STT: Model-Auswahl in Diagnostic (tiny/base/small/medium/large-v3), Hot-Reload in Bridge, Default auf medium
- [x] App: Audio-Aufnahme explizit 16kHz mono (spart Resample, optimal fuer Whisper) - [x] App: Audio-Aufnahme explizit 16kHz mono (spart Resample, optimal fuer Whisper)
- [x] Streaming TTS (Weg A): XTTS → PCM-Stream → aria-bridge → App AudioTrack MODE_STREAM, keine WAV-Gaps mehr
- [x] Piper komplett entfernt: nur noch XTTS v2 als TTS-Engine (remote, GPU auf Gaming-PC). Wenn XTTS offline ist, ist ARIA stumm — bewusst akzeptiert.
- [x] Gespraechsmodus: Speech-Gate strenger (-28dB / 500ms) — keine Umgebungsgeraeusche mehr - [x] Gespraechsmodus: Speech-Gate strenger (-28dB / 500ms) — keine Umgebungsgeraeusche mehr
- [x] Gespraechsmodus: Max-Dauer 30s pro Aufnahme, Cache-Cleanup alter Files, Messages-Array gekappt (500) - [x] Gespraechsmodus: Max-Dauer 30s pro Aufnahme, Cache-Cleanup alter Files, Messages-Array gekappt (500)
- [x] Diagnostic: Archivierte Session-Versionen (.reset.*) werden angezeigt + exportierbar — OpenClaw resettet Sessions bei erster Nutzung nach Container-Restart, Inhalt ist aber in .reset.<timestamp> Dateien gesichert - [x] Diagnostic: Archivierte Session-Versionen (.reset.*) werden angezeigt + exportierbar — OpenClaw resettet Sessions bei erster Nutzung nach Container-Restart, Inhalt ist aber in .reset.<timestamp> Dateien gesichert
@ -65,11 +67,7 @@
- [ ] QR-Code Onboarding: Diagnostic generiert QR mit RVS-Credentials, App scannt — keine manuelle Eingabe mehr - [ ] QR-Code Onboarding: Diagnostic generiert QR mit RVS-Credentials, App scannt — keine manuelle Eingabe mehr
### TTS / Audio ### TTS / Audio
- [ ] XTTS Audio-Streaming (PCM-Stream statt WAV-Dateien, eliminiert Stottern komplett)
- [ ] Audio-Normalisierung (Lautstaerke zwischen Chunks angleichen) - [ ] Audio-Normalisierung (Lautstaerke zwischen Chunks angleichen)
- [ ] Piper Voices Download ueber Diagnostic (neue Sprachen/Stimmen)
- [ ] TTS-Text-Aufbereitung: Code-Bloecke rausfiltern, Einheiten ausschreiben ("22GB" → "zweiundzwanzig Gigabyte"). Zwei Varianten denkbar: (a) server-side Cleanup in Bridge, (b) ARIA schreibt `<voice></voice>` Block der in UI hidden bleibt aber fuer TTS genutzt wird.
- [ ] Piper evtl. komplett entfernen (klingt schlecht vs. XTTS) — oder nur als Fallback wenn XTTS offline ist
### Architektur ### Architektur
- [ ] Bilder: Claude Vision direkt nutzen (aktuell nur Dateipfad an ARIA) - [ ] Bilder: Claude Vision direkt nutzen (aktuell nur Dateipfad an ARIA)