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Waves Forensics Package is a collection of audio plugins designed for the demanding needs of forensic audio: exploiting low-quality recordings, revealing information masked by noise, and restoring takes from imperfect sources (phones, walkie-talkies, hidden microphones, cameras, portable recorders). It is intended for audio laboratories, technicians working on sensitive cases, as well as editors and sound engineers who need to clean voices and complex environments while maintaining a natural and usable result.
The package was designed in collaboration with international forensic audio expert Phil Manchester, with a clear focus: to provide comprehensive tools to handle "difficult" recordings, where a classic restoration chain shows its limits.
The 10-band equalizer allows precise targeting of problematic frequency areas or, conversely, boosting useful bands (notably for speech intelligibility). This approach helps focus listening on key elements, reduce masking, and prepare the signal before noise reduction processing.
For intrusive ambiances (hiss, ventilation, traffic, background murmur), the multiband noise reduction enables a more musical and controlled action depending on frequency zones. The spectral noise reduction identifies unwanted components to remove them with greater precision, useful when noise is irregular or when certain disturbances appear intermittently.
Low fidelity recordings can accumulate mechanical and electrical defects. The suite offers processing to reduce clicks, pops, crackles, and hum to clean the signal before analysis or transcription and limit listening fatigue during long sessions.
Dynamic processors (including compression) help highlight weak sounds and buried information while maintaining control over peaks and sudden variations. The goal is to gain presence and clarity, especially on distant voices or those recorded in noisy environments.
The PAZ Analyzer facilitates the identification of artifacts and similar anomalies to locate areas to treat faster and objectify restoration choices. Coupled with real-time operation, it supports an efficient workflow from diagnosis to final output.
