Design low-latency voice agent architectures with streaming audio and turn detection.
npx skills add https://github.com/coco-research/coco --skill voice-ai-coco-research
Please help me install this Agent Skill. Skill: voice-ai Source: https://github.com/coco-research/coco/tree/main/skills/voice-ai Command: npx skills add https://github.com/coco-research/coco --skill voice-ai-coco-research
This Skill helps you design and implement voice AI systems that feel fast, natural, and reliable instead of delayed, brittle, or hard to debug. It is especially useful when you need real-time conversational behavior, clean turn-taking, and a clear choice between an integrated speech-to-speech stack and a modular pipeline.
Ask for a production-ready voice agent architecture that matches your latency, control, and provider preferences.
High-intent search queries and answers about installing and using this skill.
Speech-to-speech processes direct audio-to-audio for the lowest latency, while a modular STT-to-LLM-to-TTS pipeline provides maximum control and easier debugging for real-time conversational apps and phone agents.
Yes, OpenAI Realtime supports barge-in and turn detection. You can apply proven provider integration patterns for streaming audio handling, voice activity detection, and latency budgeting to ensure clean turn-taking in real-time conversations.
Optimize latency budgeting by tuning streaming audio handling, voice activity detection, and barge-in behavior. Direct audio-to-audio processing delivers the fastest response times for real-time voice agents.
Yes, you can combine ElevenLabs and Deepgram in a modular STT-LLM-TTS pipeline. Combining speech recognition and voice synthesis providers provides maximum control and easier debugging for real-time voice applications.
Choose a modular STT-LLM-TTS pipeline over integrated speech-to-speech when you need maximum control over processing stages and easier debugging. Choose speech-to-speech when achieving the absolute lowest latency is your priority.
martinholovskyGenerate audio feedback, process voice input, and implement spatial audio effects with the Web Audio API.
Aniket-a14Create and manage conversational AI voice agents with ASR, LLM, and TTS.
xberg-ioStream LLM tokens incrementally with liter-llm for real-time applications.
LuisSambranoBuild real-time voice AI applications with speech-to-text, text-to-speech, and low-latency infrastructure.
