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  • Tidal
  • armada
  • tide-table
  • emotion_timeline.py
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  • PLN (Algolia)'s avatar
    feat(tide-table): stem-aware emotion_timeline — fuse per-stem CLAP reads · 59fb2a11
    Adds analyze_stems(): separates via foundry_stems (vocals/bass/drums/other), scores
    each stem on a shared window grid, fuses V/A by stem role (valence rides vocals+other,
    arousal rides drums+bass+mix), and flags vocal presence per window as a structure cue.
    Refactor: shared _finalize (smooth→relabel→section→summary) now serves both whole-mix
    analyze() and analyze_stems(); embed_at/window_grid/windows helpers extracted.
    
    FINDING (Bohemian Rhapsody, mix vs 4-stem): stem-aware gives a cleaner valence track +
    vocal-presence sections (88% vocal; outro correctly reads calm, not 'cold'), BUT the
    current arousal fusion UNDER-weights the mix and softened the hard-rock peak that the
    whole-mix caught (tense A+0.77 → hypnotic A+0.55) — that section's intensity is a
    full-mix gestalt isolated stems lose. So fusion weights need empirical tuning; the
    ground-truth corpus (next) drives it. Both modes run end-to-end (#89).
    PLN (Algolia) authored Jun 23, 2026
    59fb2a11
emotion_timeline.py 10.7 KB
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