Python sidecar for scoring TTS outputs against the firdhokk
Whisper-LV3 SER classifier (sanity-verified non-saturated, 3/5
correct on RAVDESS ground-truth).
Replaces the in-process emotion2vec_plus_base path which collapses
to 'Surprised' on every input (documented in
emotional_speech_guide.md and quality_eval.rs caveat).
Reads JSONL with {gen_wav, target_emotion} rows; writes JSONL with
top_emotion, top_prob, target_prob, match (bool), and the full
8-class probability distribution.
Class set is firdhokk's 7 (no calm — calm aliases to neutral on
input). Excited aliases to happy.
Smoke-verified on the 4 prior decoder-route outputs (Amini ctx,
seed=42, recipe defaults):
happy → neutral (0.80) ✗
angry → happy (0.999) ✗
fearful → fearful (0.68) ✓
sad → fearful (0.998) ✗ (sad↔fearful confusion)
Top-1 match: 1/4 — confirms the gap documented in
emotional_speech_guide.md 'Known Limitations'.
Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
