Commit Graph
2 Commits
Author SHA1 Message Date
osobhandClaude Opus 4.7 479cd69bc3 rtx-csm: WavLM-SV parity scaffolding for Phase 5d
- scripts/wavlm_sv_parity.py: Python-side reference embedder. Loads HF
  WavLMForXVector + Wav2Vec2FeatureExtractor and dumps a JSON fingerprint
  (cosine + per-utterance norm + first/last 8 elements) for comparison.
- examples/wavlm_sv_demo gains --parity-json flag emitting the same
  fingerprint structure on the Rust side.

Once the user has a Python env with transformers + torch installed,
running both produces side-by-side JSON files for diffing — first-pass
sanity check on whether our port matches HF numerically. We can't run
the Python side from this Rust shell.

Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
2026-04-25 21:18:53 -07:00
osobhandClaude Opus 4.7 d1dba7a05c rtx-csm: WavLM-SV converter + end-to-end speaker similarity
Phase 5c — pure-Rust converter for microsoft/wavlm-base-plus-sv with
auto-detecting weight_norm merger; verified on real 100M-param weights:
load + embed + cosine-similarity round-trip works on Metal.

- wavlm_sv_convert.rs: candle_core::pickle reads pytorch_model.bin
  directly. merge_weight_norm_auto picks the kept dim from g's shape
  (dim=0 for AudioSeal SEANet, dim=2 for WavLM pos_conv_embed). Skips
  classifier.*/objective.* (train-only AMSoftmax head).
- examples/wavlm_sv_convert: HF download + convert CLI. Verified output:
  1 weight_norm pair merged + 261 passthrough + 3 skipped = 262 tensors.
- examples/wavlm_sv_demo: load + embed pair of WAVs + cosine similarity.
- examples/audioseal_inspect: gains --which wavlm-sv variant for key
  discovery.
- hub.rs: REPO_WAVLM_SV + resolve_wavlm_sv() helper.
- wavlm_sv::XVectorHead bug fix: layer_weights is top-level, not nested
  under prefix.

Verified end-to-end on Metal: cosine sim 0.9985 on same-speaker pair
(CSM vs CSM-watermarked, 10s @ 24 kHz resampled to 16 kHz). Numerical
parity vs HF reference is Phase 5d.

3 converter tests + 12 wavlm_sv tests; 78 lib tests total green.

Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
2026-04-25 19:57:52 -07:00