Speech-to-Speech
Speech-to-speech models collapse the three-stage voice pipeline into one. Instead of transcribing a caller, reasoning over the text and then synthesising a reply, the model consumes audio and emits audio — so it hears tone, interruption and hesitation, and answers in a few hundred milliseconds. Vomyra runs the frontier S2S models in production today: AWS Nova 2 Sonic, OpenAI GPT Realtime and Azure Voice Live.
3 speech-to-speech integrations
Native, production-ready connections — no glue code required.
AWS Nova 2 Sonic
Amazon frontier S2S
Amazon's frontier speech-to-speech model with native Hindi. Audio in, audio out in one pass — Vomyra runs it on Indian production calls today.
OpenAI GPT Realtime
Realtime API
OpenAI's Realtime API streams speech straight to speech over WebRTC, with native interruption handling and mid-call tool calling.
Azure Voice Live
Enterprise S2S
Microsoft's speech-to-speech stack with enterprise compliance, regional data residency and Azure-grade SLAs behind it.
What this layer does for your agent
One model, not three
Audio in, audio out. Removing the STT and TTS hops cuts the latency budget and the failure surface with it.
Keeps the prosody
The model hears hesitation, emphasis and emotion that a transcript throws away, and answers in kind.
Interruptible
Native barge-in means a caller can cut in mid-sentence and the agent stops and listens, like a person would.
Speech-to-Speech questions
What is a speech-to-speech model?
A speech-to-speech model takes audio in and returns audio out in a single pass, without converting to text in between. That removes two network hops from every turn, which is why S2S agents answer in a few hundred milliseconds rather than a second or more.
Which speech-to-speech models does Vomyra run in production?
AWS Nova 2 Sonic, OpenAI GPT Realtime and Azure Voice Live are live on Vomyra today, alongside Cartesia and ElevenLabs for voice cloning and expressive synthesis. You choose per agent, and you can switch without rebuilding the agent.
Is speech-to-speech better than a classic STT plus LLM plus TTS pipeline?
For conversation quality and latency, usually yes. A classic pipeline is still the better pick when you need a specific cloned voice, exact word-level transcripts for compliance, or the cheapest possible cost per minute at very high volume. Vomyra supports both, so you can pick per agent.
Do speech-to-speech models handle Hindi and Indian languages?
Yes. Nova 2 Sonic ships native Hindi support, and GPT Realtime and Azure Voice Live handle Hindi, English and code-mixed Hinglish. Vomyra runs these on Indian calls in production every day.