Luigi/campplus-litert

CAM++ zh-CN common — LiteRT

3D-Speaker CAM++ (campplus_cn_common, 192-d) converted PyTorch → LiteRT via litert-torch, static input (1, 500, 80), fp32.

Front end (matches the validated ggml/rapidspeech pipeline): kaldi log-mel fbank — 25 ms / 10 ms, povey window, 80 bins (20 Hz–8 kHz, kaldi mel scale), dither 0, waveform ×2¹⁵, natural log — then global CMN over the utterance, sliced into 500-frame windows; per-window embeddings are L2-normalized, mean-pooled and L2-normalized again.

Parity gates (2026-07-24):

• tflite vs PyTorch source, 14-input battery (9 real-speech fbank windows + 5 random): worst element-wise max|Δ| 1.7e-05, worst cosine 0.99999994.
• Windowed tflite pipeline vs the rapidspeech ggml CAM++ reference embedding (10 s real speech): cosine 0.9924 — cross-window speaker-linking thresholds tuned on the ggml pipeline carry over.

Converted for VoxSumDroid's all-LiteRT migration.