audiocut-keyword
CommunityFilter audio by keywords and remove segments.
Authorwlzh
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the removal of undesired spoken segments from audio recordings by keyword-based detection and configurable buffers, cutting down manual editing time.
Core Features & Use Cases
- Keyword-driven audio cleanup: Detects user-defined keywords in transcripts and trims surrounding audio with adjustable buffers.
- Transcription-backed precision: Uses FunASR to generate character-level timestamps for accurate editing.
- Podcast and content workflows: Ideal for YouTube podcasts, content moderation, and batch audio processing; can be integrated into automation pipelines.
Quick Start
Use the audiocut-keyword skill to filter an audio file:
- python3 ~/.claude/skills/audiocut-keyword/scripts/audiocut_keyword.py <audio_file>
- Example: python3 ~/.claude/skills/audiocut-keyword/scripts/audiocut_keyword.py input.mp3 -k config/keywords.json
Dependency Matrix
Required Modules
funasr
Components
scripts
💻 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: audiocut-keyword Download link: https://github.com/wlzh/skills/archive/main.zip#audiocut-keyword Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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