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campplus-litert
Luigi/campplus-litert
campplus-litert is a machine learning model from Luigi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for litert. The card lists the license as apache-2.0.
3D-Speaker CAM++ (camppluscncommon, 192-d) converted PyTorch → LiteRT via litert-torch, static input (1, 500, 80), fp32.
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.tflite28.7 MB · 100%
At a glance
- Library
- litert
- License
- apache-2.0
- Access
- Public
- Created
- Jul 23, 2026
- Updated
- Jul 23, 2026
- SHA
- 985721e5
Base models
Model card
From the Hugging Face model README
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.
- Library
- litert
- License
- apache-2.0
- Created
- Jul 23, 2026
- Updated
- Jul 23, 2026