Real-time voice activity detection for Voice AI

Real-time voice activity detection for Voice AI

Reliable turn-taking for voice agents.

Reliable turn-taking for voice agents.

Fewer false triggers

Up to 80% fewer false positives than standard VAD, even with background speech and competing voices.

Reliable turn detection

Accurate end-pointing across near-field, far-field, and multi-speaker scenes — no missed turns, no false barge-ins.

Accurate end-pointing across near-field, far-field, and multi-speaker scenes - no missed turns, no false barge-ins.

Real-time on CPU

Under 30ms latency, no GPU required. Runs standalone or chained with Voice Focus for primary-speaker isolation.

Under 30ms latency, no GPU required. Runs standalone or chained with Voice Focus for primary-speaker isolation.


VAD 2.0

Noise-robust voice activity detection

Stronger, more robust VAD, designed to work without separate de-noising tools. Outperforms Silero VAD, ensuring your voice agent hears everything, even in complex, real-world environments.

VAD Voice Focus

Voice activity detection for the primary speaker

Primary speaker VAD in real-time, ignoring background speech and competing voices. Cuts false triggers by up to 80% compared to standard VAD models.

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One SDK. Integrated in minutes.

Lightweight and fast: 30ms latency, no GPU needed, no ONNX dependency.

Built for your stack

Native integrations for every major framework.

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Test models, generate SDK keys and deploy from one dashboard.

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Test now

Drop-in

Try for free now in our Developer Platform

Test models, generate SDK keys and deploy from one dashboard.

Test now

Drop-in

Try for free now in our Developer Platform

Test models, generate SDK keys and deploy from one dashboard.

Your questions, answered

Find everything you need to know about Quail and ai-coustics SDK

Can't find your question?

Can't find your question?

What is ai-coustics and what problem does it solve for voice AI?

What is Quail Voice Focus? How is it different from noise cancellation?

Which speech enhancement model should I use for voice agents?

Does ai-coustics improve speech-to-text accuracy?

Why can I still hear some background noise after processing?

Can I deploy ai-coustics speech enhancement on-premise?

How do I evaluate ai-coustics Voice AI speech enhancement?

What programming languages does the ai-coustics SDK support?

Does ai-coustics work with LiveKit, Pipecat, and custom pipelines?

How does ai-coustics handle different languages or accents?

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Bring real-time audio intelligence into your voice AI stack

Bring real-time audio intelligence into your voice AI stack

Bring real-time audio intelligence into your voice AI stack