split-audio-by-words
OfficialSplit long-form audio files into per-scene mp3s with clean word boundaries.
Authorgooseworks-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of cleanly splitting long-form audio files, such as podcasts, into per-scene mp3s, ensuring that cuts land on word boundaries rather than mid-syllables.
Core Features & Use Cases
- Word-level Timestamps: Utilizes Whisper word-level timestamps to ensure precise scene breaks.
- Explicit Scene Markers or Auto-Split: Offers the option to use explicit timestamps or automatically detect scene breaks based on long pauses.
- Output Manifest: Generates a manifest.json file mapping scenes to source timestamps and caption text.
- Use Case: For creating voiceover files for each scene in a podcast, allowing for accurate syncing with visuals.
Quick Start
Split the audio file 'podcast-episode.m4a' into scenes using Whisper word timestamps.
Dependency Matrix
Required Modules
whisperffmpeg
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: split-audio-by-words Download link: https://github.com/gooseworks-ai/gooseworks-ads-skills/archive/main.zip#split-audio-by-words Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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