voice-note

# Voice Note Speech-to-Text (STT) and Text-to-Speech (TTS) capabilities. ## Speech → Text ### Option A: OpenAI Whisper API (cloud) ```python from openai import OpenAI client = OpenAI() with open("audio.ogg", "rb") as f: transcript = client.audio.transcriptions.create(model="whisper-1", file=f) print(transcript.text) ``` ### Option B: faster-whisper (local, no API key) ```bash pip install faster-whisper ``` ```python from faster_whisper import WhisperModel model = WhisperModel("base", compute_type="int8") # tiny/base/small/medium/large-v3 segments, info = model.transcribe("audio.ogg", language="zh") text = " ".join(s.text for s in segments) print(f"[{info.language}] {text}") ``` ## Text → Speech ### Edge-TTS (free, excellent Chinese voices) ```bash pip install edge-tts # CLI edge-tts --voice zh-CN-XiaoxiaoNeural --text "你好世界" --write-media output.mp3 # List voices edge-tts --list-voices | grep zh-CN ``` ```python import edge_tts, asyncio async def speak(text, voice="zh-CN-XiaoxiaoNeural", output="output.mp3"): communicate = edge_tts.Communicate(text, voice) await communicate.save(output) asyncio.run(speak("今天天气不错，适合出门")) ``` ### Chinese Voice Options | Voice | Style | |-------|-------| | zh-CN-XiaoxiaoNeural | 女声，活泼自然 | | zh-CN-YunxiNeural | 男声，温和 | | zh-CN-YunyangNeural | 男声，新闻播报 | | zh-CN-XiaoyiNeural | 女声，温柔 | ## Script ```bash python3 scripts/voice_process.py transcribe audio.ogg --model base --language zh --output transcript.txt python3 scripts/voice_process.py summarize meeting.mp3 --model small ``` Note: TTS (speak/voices) is in the separate `tts-voice` skill. ## Audio Format Notes - Input formats: ogg, mp3, wav, m4a, webm (Whisper accepts most) - Output: mp3 (Edge-TTS default) - Convert: `ffmpeg -i input.ogg output.mp3`