LALAL.AI Launches Lynx: Its First Neural Network Built Exclusively for Speech Denoising

LALAL.AI, an AI-powered audio processing platform used by millions of audio engineers, video producers, journalists, podcasters, and localization teams worldwide, today announced the release of Lynx, its first neural network designed exclusively for speech denoising.

Lynx is trained to separate speech from background music, crowd noise, mechanical interference, environmental sounds, and the full range of acoustic artifacts present in content produced outside controlled studio conditions. The result is a clean voice track ready for further post-production, without the manual cleanup steps that slow batch production.

Examples

Removing music from a video

Another example of music removal

Removing wind noise

"In speech denoising, you’re not separating things that were recorded together by design. You’re trying to recover a voice from an environment that was never meant to be a recording studio,” says Nik Pogorsky, LALAL.AI Product Owner and Co-founder. “We spent a year building a model that treats that as the actual problem, not a side case of something else.”

The model is six times smaller than Andromeda, LALAL.AI’s flagship cloud stem separation model, which reduces computational load without compromising output quality. The model was trained on a manually curated dataset: since no reliable automated pipeline exists for cleaning the full dynamic range of real-world speech from diverse noise sources, the team spent months hand-selecting, filtering, trimming down, and preparing audio tracks covering conditions from quiet interviews to noisy field recordings.

Lynx is available now through LALAL.AI’s Voice Cleaner and Voice & Noise stem via browser, mobile app, desktop app (cloud mode), and the LALAL.AI API. The demand for dedicated voice cleaning is reflected in LALAL.AI’s own usage data: the Voice & Noise stem, now powered by Lynx, is the platform’s second most-used separation track, with more than 11.5 million audio splits processed on it in 2025.

Planned improvements to the Lynx architecture include enhanced separation of choral and group vocals, and improved isolation of speech recorded at a distance from the microphone.

About LALAL.AI LALAL.AI is an AI-powered audio processing platform offering stem separation, voice cloning, and noise removal tools for creators, developers, and enterprises. The platform is accessible via web, mobile, desktop application, API, and VST plugin.