Real-time AI voice conversations with <0.5s latency
Avaturn.live is a voice-to-voice AI assistant that lets you speak to an avatar in real time. We managed to reach <0.5 sec response time so that the conversation with an avatar feels more natural. Also what do you think about our lip sync? We were struggling a lot to reach our current level. Initial use case we're exploring: Automated product demos/sales, where the AI avatar can showcase features and answer questions in real-time. Demo: https://dashboard.avaturn.live/demo You can try talking to an avatar about anything
Real-time AI voice conversations with <0.5s latency launched on November 7, 2024 with 6 votes and more than 50% of that year's launches. The site was not reachable when checked in September 2026.
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Avaturn LiveNov 2025 · avaturn.live · ▲320AI avatars 9X faster, 4X expressive range w/, human fidelity
Real-time AI Voice Chat at ~500ms Latency2025 · github.com · ▲524Have a natural, spoken conversation with AI! Contribute to KoljaB/RealtimeVoiceChat development by creating an account on GitHub.
I built a sub-500ms latency voice agent from scratchMar 2026 · ntik.me · ▲570I built a voice agent from scratch that averages ~400ms end-to-end latency (phone stop → first syllable). That’s with full STT → LLM → TTS in the loop, clean barge-ins, and no precomputed responses. What moved the needle: Voice is a turn-taking problem, not a transcription problem. VAD alone fails; you need semantic end-of-turn detection. The system reduces to one loop: speaking vs listening. The two transitions - cancel instantly on barge-in, respond instantly on end-of-turn - define the experience. STT → LLM → TTS must stream. Sequential pipelines are dead on arrival for natural…
Conversational AI 2.0 From ElevenLabs2025 · elevenlabs.io · ▲652Luke from ElevenLabs here. We just released Scribe Realtime v2, our new real-time Speech to Text model. We rebuilt it from the ground up around a new architecture that uses predictive transcription – it anticipates the next likely word before it’s spoken. That makes it both fast (around 150 ms latency) and highly accurate. Scribe v2 Realtime outperforms every low latency transcription model across 30 commonly used EU and Asian languages – 93.5% accuracy, compared to Gemini 2.5 Flash (91.4%), GPT-4o MiniTranscribe (90.7%), and Deepgram Nova 3 (85%). It supports 90+ languages including…
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