OpenClaw Voice Skill

To add voice chat to an OpenClaw agent, you need a Skill that integrates Whisper STT for speech-to-text transcription and optionally ElevenLabs for natural text-to-speech output. It processes spoken language from a web browser and returns real-time voice responses via websockets.

Yes, voice chat with OpenClaw requires Whisper STT for speech-to-text transcription. The system uses faster-whisper or openai-whisper dependencies to process spoken language from users and convert it into text for the agent to understand.

Yes, you can use ElevenLabs for text-to-speech output with an OpenClaw agent. ElevenLabs is an optional dependency that provides natural speech synthesis, allowing the agent to respond to users with high-quality voice output instead of text only.

The best way to enable browser-based voice interaction with an AI assistant is using a FastAPI server with websockets. This setup connects browser audio streams to Whisper STT for transcription and ElevenLabs TTS for natural voice output.

Yes, you need an OpenClaw gateway integration to build a voice interface. The voice chat Skill connects to OpenClaw's chatCompletions endpoint and agent models to process transcribed speech and generate appropriate responses.

Real-time speech-to-text processing uses webrtcvad and silero-vad for voice activity detection. These libraries identify when a user starts and stops speaking, segmenting audio streams effectively before sending them to Whisper for transcription.