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Voice Focus 2.0 + Native LiveKit Integration: Production-ready voice agents are here
Quail Voice Focus 2.0 launches with native LiveKit integration, bringing foreground speaker isolation and reliable audio to production voice agents.
Behind Quail Voice Focus 2.0: Technical benchmark and evaluation
A technical deep dive into Quail Voice Focus 2.0. See benchmarks, training methods, and how foreground speaker isolation improves ASR and VAD.
How Synthesia scaled voice cloning quality by improving audio at the source
When Synthesia reduced training data to 30 seconds, recording inconsistencies became critical. See how audio preprocessing improves voice clone stability.
What Word Error Rate tells us about Voice AI quality in production
In Voice AI, sounding clean isn’t enough. We explain what’s Word Error Rate and why transcription accuracy matters more than perceptual audio quality.
Simplifying audio enhancement for voice AI: Human vs. machine models explained
Speech enhancement for human perception is not the same as for machines. Learn the difference between Rook and Quail and how to choose the right SDK model.
Get started with the ai-coustics SDK in four simple steps
Want to test speech enhancement in your pipeline? This guide shows how to set up the ai-coustics SDK and run your first Quail test.
Meet Quail Voice Focus: Primary speaker isolation in real-time
Quail Voice Focus isolates the foreground speaker to reduce transcription errors in real-world, multi-speaker audio to improve reliability in the real-world.
The top 5 speech-to-text APIs for real-time voice AI (2026 Guide)
Choosing an STT provider isn’t enough. This article compares leading STT tools and shows how speech enhancement improves reliability.
Meet Quail: Improving transcription in every condition
Real-world audio breaks many STT systems. Quail is a speech enhancement model built to improve transcription accuracy across noisy environments.
