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V31 Feature Engineering Notes

Why we did V31

V16 is stable and strong, but it may saturate. V31 adds richer signal descriptors to capture information that plain MFCC/chroma stats can miss.

Goal:

  • keep V16 baseline safety,
  • add meaningful audio dynamics/rhythm/texture features,
  • compare objectively against V16 before upload.

What was added in V31

  1. MFCC Delta + Delta-Delta

    • Captures temporal changes in timbre.
    • Useful when genres differ by evolving patterns, not just static spectral shape.
  2. HPSS (Harmonic-Percussive Source Separation)

    • Splits audio into harmonic and percussive components.
    • Helps distinguish melody-heavy vs beat-heavy genre characteristics.
  3. Tempo / Beat Strength Features

    • Adds rhythmic cues (tempo, onset strength mean/std).
    • Useful for genre rhythm identity.

Where implemented

  • Notebook: notebooks/DL_21f2000735_FINAL_UPLOAD_V31.ipynb
  • Demo feature output script: src/v31_feature_demo_output.py
  • Demo output file: reports/v31_demo_feature_output.json

How to use it in decisions

  • Run V31 compare block (V16-base vs V31-fusion).
  • Check:
    • v16_base_macro_f1
    • v31_fusion_macro_f1
    • delta_v31_minus_v16
  • Upload V31 only if delta is non-negative and run is stable.

How to learn more

  1. Librosa docs
    • MFCC / delta / HPSS / tempo APIs
  2. Audio feature engineering guides
    • spectral contrast, rhythm features, pooling strategies
  3. Ablation practice
    • turn one feature family on/off and record F1 delta
  4. Error analysis loop
    • inspect confusion matrix and add features targeting weak class pairs

Practical next learning experiments

  1. HPSS-only ablation vs base
  2. Delta-only ablation vs base
  3. Tempo-only ablation vs base
  4. Combined (V31) vs V16 baseline
  5. Class-wise F1 comparison for weak genres

This note exists to keep V31 explainable in viva and reproducible in future runs.