Implement low-latency voice AI systems using speech-to-speech architectures and optimized STT/TTS pipelines.
This skill provides comprehensive guidance for building high-performance AI voice agents capable of natural, human-like conversation. It covers essential architectures like OpenAI's Realtime API for direct speech-to-speech interaction and modular pipelines integrating industry-leading tools like Deepgram, ElevenLabs, and Pipecat. Users will find implementation patterns for critical features such as Voice Activity Detection (VAD), interruption handling (barge-in), and latency optimization strategies designed to achieve the sub-800ms response times required for production-grade conversational AI.
主な機能
01Optimized STT/LLM/TTS pipeline architectures using Deepgram and ElevenLabs
02Latency optimization strategies for achieving sub-800ms response times
0331,432 GitHub stars
04Implementation patterns for OpenAI Realtime API speech-to-speech models
05Voice-first conversation design principles for natural AI interactions
06Advanced Voice Activity Detection (VAD) and barge-in handling techniques
ユースケース
01Building ultra-low latency customer support and IVR voice assistants
02Integrating conversational AI into hardware devices and mobile apps
03Developing real-time language translation and interactive voice applications
