AudioDenoise
AI-driven spectral restoration for professional-grade audio isolation.
The ultimate modular workstation for audio restoration, forensic surveillance, and high-end mastering.
CEDAR Cambridge is the industry-standard high-resolution audio restoration and speech enhancement system. Built upon a 64-bit workstation architecture, it operates as a modular server-based environment designed for the most demanding forensic, archival, and post-production workflows. In 2026, it remains the pinnacle of audio processing, utilizing advanced machine learning algorithms to identify and isolate unwanted noise components without affecting the target signal integrity. Its architecture supports multi-channel processing (up to 32 channels) and allows for simultaneous background rendering, making it indispensable for national libraries and forensic laboratories globally. The system integrates seamlessly into modern studio infrastructures via high-speed networking and provides a suite of tools that address everything from basic clicks and pops to complex spectral interference and speech intelligibility in high-noise environments. Unlike consumer plugins, Cambridge provides a dedicated hardware-software synergy that ensures phase linearity and extreme bit-depth precision, maintaining its position as the market leader for critical audio recovery and high-fidelity mastering.
A sophisticated spectral editor that allows users to identify and eliminate sounds by 'painting' them out of the spectrogram using AI-assisted interpolation.
AI-driven spectral restoration for professional-grade audio isolation.
Professional AI-driven automated dialogue replacement for film and broadcast.
The premier digital audio workstation for professional music production, scoring, and AI-assisted mixing.
AI-powered audio recording and editing for professional-grade speech clarity.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
An adaptive noise reduction module specifically tuned for speech intelligibility in surveillance recordings.
Dynamic noise suppression technology that provides near-zero latency removal of ambient noise.
An advanced algorithm that identifies the noise floor without the need for a 'noise finger-print' or profile.
Corrects frequency-dependent phase shifts and time-alignment errors in stereo or multi-channel recordings.
Background processing engine that handles massive audio archives without interrupting the foreground UI.
Specifically targets high-frequency impulsive noise common in shellac and vinyl records.
Recovering high-fidelity audio from 100-year-old wax cylinders and shellac discs.
Registry Updated:2/7/2026
Export restored BWF files with metadata preservation.
Extracting a conversation from a recording made in a moving vehicle with heavy wind and engine noise.
Removing on-set generator hum and air conditioning noise from actor dialogue.