Voice

Voice communication via Telegram. Automatically transcribes incoming voice messages using faster-whisper and replies with TTS voice. Use for all voice-relate...

Voice Communication

This skill enables voice communication on Telegram:

1. Receive: Transcribe voice messages using faster-whisper
2. Reply: Send voice replies using TTS

Incoming Voice (Automatic)

When receiving voice messages (.ogg files), use faster-whisper to transcribe:

from faster_whisper import WhisperModel

model = WhisperModel('base', device='cpu', compute_type='int8')
segments, info = model.transcribe('<file_path>', language='zh')
result = ''.join([s.text for s in segments])

Outgoing Voice (TTS)

Use the tts tool to send voice replies:

{
  "action": "send",
  "channel": "telegram", 
  "message": "<text>",
  "asVoice": true
}

Or use the tts tool directly:

{
  "channel": "telegram",
  "text": "<text to speak>"
}

Language

• Input: Auto-detect or specify language (zh for Chinese)
• Output: Match user's language preference

Requirements

• faster-whisper: pip install faster-whisper
• TTS already configured in OpenClaw