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Audio processing utilities - noise reduction, normalization, enhancement
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Generate karaoke-style word-level timestamps by aligning script text to audio using Qwen3-ForcedAligner + jieba for Chinese word segmentation. Use when the user says 'align captions', 'karaoke timestamps', 'word timestamps', 'caption alignment', 'sync text to audio'.
Analyze raw video content using Gemini to identify speakers, topics, key moments, and potential clip opportunities
Extract a video segment using FFmpeg with precise start/end times
Find naturally clean, coherent video segments worth keeping (selection over repair)
Text-guided audio source separation using SAM-Audio via mlx-audio
ASR with ~30ms timestamp precision using Qwen3-ASR + ForcedAligner
| name | audio-process |
| description | Audio processing utilities - noise reduction, normalization, enhancement |
Audio processing utilities for cleaning and enhancing voice recordings.
# Remove background noise
python skills/audio-process/denoise.py input.wav output.wav
# Normalize audio levels
python skills/audio-process/normalize.py input.wav output.wav
# Full voice cleanup pipeline (denoise + normalize + enhance)
python skills/audio-process/clean_voice.py input.wav output.wav
| Operation | Description | Use Case |
|---|---|---|
denoise | Remove background noise | Voice cloning prep |
normalize | Normalize audio levels | Consistent volume |
clean_voice | Full cleanup pipeline | Best for voice samples |
afftdn and anlmdn filters