Audio Voice Recovery

This is a comprehensive forensic audio toolkit with 45 rules across signal preservation, noise profiling, spectral processing, and voice isolation. You'd reach for it when working with degraded recordings that need enhancement for transcription or legal evidence, or when authenticating audio for tampering. The standout piece is the workflow automation: it includes Python scripts for preflight analysis, workflow planning from metrics, and before-after comparison so you're not guessing whether your noise reduction actually helped. Built around FFmpeg, SoX, and Whisper with clear priorities (signal preservation is critical, tooling is low-medium). The forensic authentication rules like ENF analysis for timestamp verification show this goes beyond basic cleanup into actual investigative work.

install copies · 90 days. Times the install command was copied on this site in the last 90 days, bots filtered.: 5
skills.sh installs: 340
GitHub stars: 222
last updated: Aug 21, 2026

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Install

$ npx -y skills add pproenca/dot-skills --skill audio-voice-recovery --agent claude-code

Installs into .claude/skills of the current project.

Files

Forensic Audio Research Audio Voice Recovery Best Practices

Comprehensive audio forensics and voice recovery guide providing CSI-level capabilities for recovering voice from low-quality, low-volume, or damaged audio recordings. Contains 45 rules across 8 categories, prioritized by impact to guide audio enhancement, forensic analysis, and transcription workflows.