feat(processor): prefer speech-specific metrics when available #30
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- Prefer SpeechProfile measurements over full-file averages when present, since full-file metrics can be diluted by silence in multi-track recordings. - Add preferSpeechMetricSigned to safely choose speech-specific values for metrics that can be zero or negative (e.g. spectral decrease/skew). - Update DS201 highpass/lowpass, de-esser, LA-2A tuning and recording tips to use speech-specific metrics when available. - Update and add tests (recording_tips_test, adaptive_test) to cover speech-profile-driven branches and preferSpeechMetricSigned. Improves adaptive tuning accuracy for voice-centric recordings and makes recording tips more relevant when speech candidates are detected. Signed-off-by: Martin Wimpress <martin@wimpress.org>
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since full-file metrics can be diluted by silence in multi-track recordings.
Improves adaptive tuning accuracy for voice-centric recordings and makes recording tips more relevant when speech candidates are detected.