Orchestrate real-time voice conversations with Deepgram STT, OpenAI GPT-4.1-mini, and Fish Audio TTS.
npx skills add https://github.com/seanchiuai/openclaude --skill voice-seanchiuai
Please help me install this Agent Skill. Skill: voice Source: https://github.com/seanchiuai/openclaude/tree/main/.claude/skills/voice Command: npx skills add https://github.com/seanchiuai/openclaude --skill voice-seanchiuai
Real-time voice conversations require seamless orchestration of speech recognition, language understanding, and speech synthesis across multiple transport paths and voice personas.
Start a voice session by clicking the Connect button in the UI to launch real-time STT, LLM, and TTS with a selected voice.
High-intent search queries and answers about installing and using this skill.
Real-time voice conversations require coordinating speech-to-text, language understanding, and text-to-speech. This pipeline combines Deepgram STT, OpenAI GPT-4.1-mini orchestration, and Fish Audio TTS to handle live audio streams, transcripts, and seamless AI response playback.
Voice cloning and a mapped voice pool maintain consistent personas across both browser WebSocket sessions and Twilio phone calls. The system matches archetype, gender, and speed to ensure uniform voice profiles throughout real-time interactions.
Orchestrating live audio streams for voice mode requires a unified pipeline managing real-time speech recognition, LLM processing, and text-to-speech synthesis. It handles user and AI transcripts while ensuring seamless playback of AI responses during active sessions.
Yes, the voice orchestration pipeline supports Twilio phone calls alongside browser WebSocket sessions. It handles live audio streams, user and AI transcripts, and seamless playback of AI responses across both transport paths with robust error handling.
Start a real-time voice session by clicking the Connect button in the UI to launch STT, LLM, and TTS with a selected voice. This initiates the full orchestration pipeline using your mapped voice pool.
Voice cloning for real-time conversations requires robust error handling across STT, LLM, and TTS components. Consider latency management in live audio streams and ensuring voice profile consistency when matching archetype, gender, and speed attributes.
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