✅ 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/
191 lines
5.8 KiB
Python
191 lines
5.8 KiB
Python
#!/usr/bin/env python3
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"""
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ASR HTTP/WebSocket server.
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Provides endpoints for speech-to-text transcription.
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"""
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import logging
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import asyncio
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import json
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import io
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from typing import List, Optional
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from fastapi import FastAPI, WebSocket, WebSocketDisconnect, HTTPException, UploadFile, File, Form
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from fastapi.responses import JSONResponse, PlainTextResponse
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from pydantic import BaseModel
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from .service import ASRService, get_service
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logger = logging.getLogger(__name__)
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app = FastAPI(title="ASR Service", version="0.1.0")
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# Global service
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asr_service: Optional[ASRService] = None
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@app.on_event("startup")
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async def startup():
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"""Initialize ASR service on startup."""
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global asr_service
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try:
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asr_service = get_service()
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logger.info("ASR service initialized")
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except Exception as e:
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logger.error(f"Failed to initialize ASR service: {e}")
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asr_service = None
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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 asr_service else "unavailable",
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"service": "asr",
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"model": asr_service.model_size if asr_service else None,
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"device": asr_service.device if asr_service else None
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}
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@app.post("/transcribe")
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async def transcribe(
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audio: UploadFile = File(...),
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language: Optional[str] = Form(None),
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format: str = Form("json")
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):
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"""
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Transcribe audio file.
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Args:
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audio: Audio file (WAV, MP3, FLAC, etc.)
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language: Language code (optional, auto-detect if not provided)
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format: Response format ("text" or "json")
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"""
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if not asr_service:
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raise HTTPException(status_code=503, detail="ASR service unavailable")
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try:
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# Read audio file
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audio_bytes = await audio.read()
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# Transcribe
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result = asr_service.transcribe_file(
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audio_bytes,
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format=format,
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language=language
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)
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if format == "text":
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return PlainTextResponse(result["text"])
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return JSONResponse(result)
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except Exception as e:
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logger.error(f"Transcription error: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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@app.get("/languages")
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async def get_languages():
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"""Get supported languages."""
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# Whisper supports many languages
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languages = [
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{"code": "en", "name": "English"},
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{"code": "es", "name": "Spanish"},
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{"code": "fr", "name": "French"},
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{"code": "de", "name": "German"},
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{"code": "it", "name": "Italian"},
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{"code": "pt", "name": "Portuguese"},
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{"code": "ru", "name": "Russian"},
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{"code": "ja", "name": "Japanese"},
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{"code": "ko", "name": "Korean"},
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{"code": "zh", "name": "Chinese"},
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]
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return {"languages": languages}
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@app.websocket("/stream")
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async def websocket_stream(websocket: WebSocket):
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"""WebSocket endpoint for streaming transcription."""
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if not asr_service:
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await websocket.close(code=1003, reason="ASR service unavailable")
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return
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await websocket.accept()
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logger.info("WebSocket client connected for streaming transcription")
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audio_chunks = []
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try:
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while True:
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# Receive audio data or control message
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try:
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data = await asyncio.wait_for(websocket.receive(), timeout=30.0)
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except asyncio.TimeoutError:
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# Send keepalive
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await websocket.send_json({"type": "keepalive"})
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continue
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if "text" in data:
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# Control message
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message = json.loads(data["text"])
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if message.get("action") == "end":
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# Process accumulated audio
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if audio_chunks:
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try:
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result = asr_service.transcribe_stream(audio_chunks)
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await websocket.send_json({
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"type": "final",
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"text": result["text"],
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"segments": result["segments"],
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"language": result["language"]
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})
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except Exception as e:
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logger.error(f"Transcription error: {e}")
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await websocket.send_json({
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"type": "error",
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"error": str(e)
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})
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audio_chunks = []
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elif message.get("action") == "reset":
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audio_chunks = []
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elif "bytes" in data:
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# Audio chunk (binary)
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# Note: This is simplified - real implementation would need
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# proper audio format handling (PCM, sample rate, etc.)
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audio_chunks.append(data["bytes"])
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# Send partial result (if available)
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# For now, just acknowledge
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await websocket.send_json({
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"type": "partial",
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"status": "receiving"
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})
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elif data.get("type") == "websocket.disconnect":
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break
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except WebSocketDisconnect:
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logger.info("WebSocket client disconnected")
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except Exception as e:
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logger.error(f"WebSocket error: {e}")
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try:
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await websocket.send_json({
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"type": "error",
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"error": str(e)
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})
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except:
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pass
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finally:
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try:
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await websocket.close()
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except:
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pass
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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=8001)
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