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docs(comparison): clarify NoiseRemove compand and document silence detection capabilities
- Correct Pass 2 NoiseRemove row: compand disabled when no noise profile
exists; note that anlmdn filter always active
- Qualify compand dependency on noise profile in Section 4 capabilities
- Add two newly implemented Speech-Aware Processing capabilities:
* Digital silence rejection in room tone candidate selection
* Voice-activated recording detection from silence fraction
Signed-off-by: Martin Wimpress <code@wimpress.io>
Jivetalking employs speech profile extraction for adaptive tuning:
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-**Silence detection:** Uses 250ms interval sampling with spectral analysis
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-**Silence detection:** Uses 250ms interval sampling with spectral analysis; digital silence (below -115 dBFS) rejected as unsuitable room tone
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-**Voice-activated detection:** Recordings where >= 95% of silence candidates are digital silence (Riverside, Zencastr) are flagged; speech interruption tolerance widens from 2s to 10s for accurate speech region extraction
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-**Speech region detection:** Finds representative speech segments (30s+ duration)
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-**Golden sub-region refinement:** Identifies cleanest sub-windows for noise/speech profiling
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-**Speech metrics:** RMS level, crest factor, spectral centroid, kurtosis, flux for each profile
### Capabilities Jivetalking Has That Levelator Lacked
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1.**Noise Reduction:** Non-Local Means denoising with adaptive compand
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1.**Noise Reduction:** Non-Local Means denoising (`anlmdn`) always active; adaptive compand applied when a silence region is elected as the noise profile
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2.**Gating:** Soft expander for inter-speech cleanup
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3.**True Peak Limiting:** Prevents inter-sample peaks
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