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evo-video-filler-word-remover

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Detects filler words in video/audio interviews using ASR (faster-whisper) with word-level timestamps, saves annotations as JSON, and extracts filler clips into a compilation video.

tasks-evolved/video-filler-word-remover/environment/skills/evo-video-filler-word-remover/SKILL.md

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Sep 10, 2026
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Apache-2.0

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# evo-video-filler-word-remover

## Purpose
Detects filler words and phrases in interview videos using speech recognition (faster-whisper), outputs timestamped annotations as JSON, and stitches all filler word clips into a single compilation video.

## Key Concepts
- Uses **faster-whisper** (CTranslate2-based Whisper) for CPU-optimized transcription
- **`small` model with `int8` quantization**: optimal tradeoff between accuracy and CPU speed (~1GB RAM, 1.5-3x real-time)
- **Word-level timestamps** via DTW cross-attention alignment (~20ms resolution)
- **VAD filter** (Silero) enabled to prevent hallucination on silence
- **`condition_on_previous_text=False`** to prevent the model from skipping disfluencies in favor of grammatically clean output
- **Dual-pass detection**: multi-word phrases first (greedy longest match), then single-word fillers
- **Text normalization**: lowercase, strip punctuation, handle Whisper's leading-space tokenization artifacts
- **Hesitation equivalence**: um, uh, hum, hmm, mhm, umm variants all recognized