Silence Detection
LIVE
Automated dead air identification with timestamp-level precision. Scans every clip for pauses, gaps, and silence regions to inform rough cut assembly and pacing analysis.
Automated dead air identification with timestamp-level precision. Scans every clip for pauses, gaps, and silence regions to inform rough cut assembly and pacing analysis.
Audio is extracted from each clip via FFmpeg, then analyzed by auto-editor's silence detection engine. Regions below the noise threshold are flagged as silence with precise start/end timestamps. The output is a silence map per clip.
| Parameter | Value |
|---|---|
| Tool | auto-editor 29.3.1 |
| Audio Extraction | FFmpeg via ffmpeg-python |
| Detection | Amplitude threshold + minimum duration |
| Output | Silence map JSON with timestamps |
| Precision | Millisecond-level start/end markers |
Each clip produces a timeline showing audio regions (green) and detected silence gaps (red). This feeds into the rough cut stage where silence is automatically trimmed.
| Stage | How Silence Data Is Used |
|---|---|
| Rough Cut | Auto-trim silence gaps below configurable threshold |
| Pacing Analysis | Silence-to-speech ratio informs pacing score |
| Chapter Scoring | Excessive silence lowers content quality score |
| Dialogue Matching | Silence boundaries help segment speech content |
