What is Quail?
Quail is ai-coustics' family of real-time speech enhancement models, purpose-built to make voice AI reliable. Unlike perceptual enhancement models designed to make speech sound pleasant to humans, Quail is optimized for machine understanding — preserving the acoustic cues that ASR systems and voice agents depend on, while suppressing the noise, reverb, and artifacts that degrade their accuracy. It runs with ultra-low latency on CPU, making it ideal for voice agents, contact centers, live conferencing, broadcast, and privacy-sensitive on-premise deployments.
What is an example of Quail?
A voice agent handling a customer call through a pipeline like LiveKit or Pipecat uses Quail as a pre-processing step ahead of the ASR. Background noise and room echo are suppressed in real time, lowering Word Error Rate and keeping the agent from reacting to words that were never spoken. Quail Voice Focus adds speaker isolation, so competing voices in the background don't get over-transcribed.
How does Quail work?
Quail uses compact neural architectures designed for streaming and frame-level audio processing. Combined with AirTen, our own inference engine, Quail can run many concurrent enhancement sessions on a single CPU host.
How does ai-coustics use Quail?
Quail is at the core of ai-coustics' real-time voice AI stack. It's what lets our customers build voice agents, contact center systems, and live communication platforms that stay accurate in real-world conditions - such as noisy rooms, cheap headsets, packet loss, competing speakers). Read more about Quail here.
