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Build real-time conversational AI voice engines using async worker pipelines, streaming transcription, LLM agents, and TTS synthesis with interrupt handling…
Voice AI Engine Development Overview This skill guides you through building production-ready voice AI engines with real-time conversation capabilities. Voice AI engines enable natural, bidirectional conversations between users and AI agents through streaming audio processing, speech-to-text transcription, LLM-powered responses, and text-to-speech synthesis. The core architecture uses an async queue-based worker pipeline where each component runs independently and communicates via asyncio.Queue objects, enabling concurrent processing, interrupt handling, and real-time streaming at every stage. When to Use This Skill Use this skill when: Building real-time voice conversation systems Implementing voice assistants or chatbots Creating voice-enabled customer service agents Developing voice AI applications with interrupt capabilities Integrating multiple transcription, LLM, or TTS providers Working with streaming audio processing pipelines The user mentions Vocode, voice engines, or conversational AI
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