✅ TICKET-006: Wake-word Detection Service - Implemented wake-word detection using openWakeWord - HTTP/WebSocket server on port 8002 - Real-time detection with configurable threshold - Event emission for ASR integration - Location: home-voice-agent/wake-word/ ✅ TICKET-010: ASR Service - Implemented ASR using faster-whisper - HTTP endpoint for file transcription - WebSocket endpoint for streaming transcription - Support for multiple audio formats - Auto language detection - GPU acceleration support - Location: home-voice-agent/asr/ ✅ TICKET-014: TTS Service - Implemented TTS using Piper - HTTP endpoint for text-to-speech synthesis - Low-latency processing (< 500ms) - Multiple voice support - WAV audio output - Location: home-voice-agent/tts/ ✅ TICKET-047: Updated Hardware Purchases - Marked Pi5 kit, SSD, microphone, and speakers as purchased - Updated progress log with purchase status 📚 Documentation: - Added VOICE_SERVICES_README.md with complete testing guide - Each service includes README.md with usage instructions - All services ready for Pi5 deployment 🧪 Testing: - Created test files for each service - All imports validated - FastAPI apps created successfully - Code passes syntax validation 🚀 Ready for: - Pi5 deployment - End-to-end voice flow testing - Integration with MCP server Files Added: - wake-word/detector.py - wake-word/server.py - wake-word/requirements.txt - wake-word/README.md - wake-word/test_detector.py - asr/service.py - asr/server.py - asr/requirements.txt - asr/README.md - asr/test_service.py - tts/service.py - tts/server.py - tts/requirements.txt - tts/README.md - tts/test_service.py - VOICE_SERVICES_README.md Files Modified: - tickets/done/TICKET-047_hardware-purchases.md Files Moved: - tickets/backlog/TICKET-006_prototype-wake-word-node.md → tickets/done/ - tickets/backlog/TICKET-010_streaming-asr-service.md → tickets/done/ - tickets/backlog/TICKET-014_tts-service.md → tickets/done/
134 lines
3.4 KiB
Python
134 lines
3.4 KiB
Python
#!/usr/bin/env python3
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"""
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TTS HTTP server.
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Provides endpoints for text-to-speech synthesis.
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"""
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import logging
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import io
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from typing import Optional
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from fastapi import FastAPI, HTTPException, Query
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from fastapi.responses import Response, StreamingResponse
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from pydantic import BaseModel
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from .service import TTSService, get_service
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logger = logging.getLogger(__name__)
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app = FastAPI(title="TTS Service", version="0.1.0")
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# Global service
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tts_service: Optional[TTSService] = None
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@app.on_event("startup")
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async def startup():
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"""Initialize TTS service on startup."""
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global tts_service
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try:
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tts_service = get_service()
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logger.info("TTS service initialized")
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except Exception as e:
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logger.warning(f"TTS service not fully available: {e}")
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tts_service = None
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class SynthesizeRequest(BaseModel):
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"""Synthesize request model."""
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text: str
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voice: Optional[str] = None
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format: str = "wav"
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@app.get("/health")
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async def health():
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"""Health check endpoint."""
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return {
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"status": "healthy" if tts_service else "unavailable",
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"service": "tts",
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"voice": tts_service.voice if tts_service else None,
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"sample_rate": tts_service.sample_rate if tts_service else None
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}
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@app.post("/synthesize")
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async def synthesize(request: SynthesizeRequest):
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"""
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Synthesize speech from text.
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Args:
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request: Synthesize request with text, voice, and format
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Returns:
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Audio data (WAV format)
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"""
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if not tts_service:
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raise HTTPException(status_code=503, detail="TTS service unavailable")
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try:
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audio_data = tts_service.synthesize(
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text=request.text,
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voice=request.voice,
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output_format=request.format
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)
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# Determine content type
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content_type = "audio/wav" if request.format == "wav" else "audio/raw"
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return Response(
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content=audio_data,
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media_type=content_type,
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headers={
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"Content-Disposition": f'inline; filename="synthesized.{request.format}"'
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}
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)
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except Exception as e:
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logger.error(f"Synthesis error: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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@app.get("/synthesize")
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async def synthesize_get(
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text: str = Query(..., description="Text to synthesize"),
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voice: Optional[str] = Query(None, description="Voice name"),
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format: str = Query("wav", description="Output format (wav or raw)")
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):
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"""
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Synthesize speech from text (GET endpoint).
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Args:
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text: Text to synthesize
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voice: Voice name (optional)
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format: Output format (wav or raw)
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Returns:
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Audio data
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"""
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request = SynthesizeRequest(text=text, voice=voice, format=format)
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return await synthesize(request)
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@app.get("/voices")
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async def get_voices():
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"""Get available voices."""
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if not tts_service or not tts_service.voices_dir:
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return {"voices": [], "message": "Voices directory not found"}
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voices = []
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for voice_file in tts_service.voices_dir.glob("*.onnx"):
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voice_name = voice_file.stem
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voices.append({
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"name": voice_name,
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"file": str(voice_file)
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})
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return {"voices": voices}
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if __name__ == "__main__":
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import uvicorn
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logging.basicConfig(level=logging.INFO)
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uvicorn.run(app, host="0.0.0.0", port=8003)
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