audio-quality-check
CommunityDiagnose audio recording issues
Software Engineering#SNR#loudness#audio analysis#echo detection#speech quality#recording diagnostics
Authortenequm
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps diagnose and understand why audio recordings sound bad, identifying issues like echo, poor speech clarity, and excessive noise.
Core Features & Use Cases
- Echo Detection: Identifies duplicated audio signals and acoustic echo.
- Quality Metrics: Measures loudness (LUFS), speech quality (PESQ), and intelligibility (STOI).
- Noise Analysis: Assesses signal-to-noise ratio (SNR) and spectral characteristics.
- Use Case: You have a call recording where a participant's voice sounds distant and has a slight echo. This Skill can analyze the recording to pinpoint if the echo is due to acoustic feedback or a virtual audio processing loop, and quantify the speech intelligibility.
Quick Start
Run the bundled analysis script on a recording directory by typing: python <skill-path>/scripts/analyze_recording.py "/path/to/recording/directory".
Dependency Matrix
Required Modules
numpysoundfilescipypyloudnormpesqpystoilibrosaffmpegffprobesox
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: audio-quality-check Download link: https://github.com/tenequm/skills/archive/main.zip#audio-quality-check Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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