Campplus Coreml

--- license: other license_name: campplus-upstream license_link: https://github.com/modelscope/FunASR language: [zh] library_name: coreml tags: [coreml, ane, speaker-verification, speaker-diarization, campplus, funasr, fluidaudio] pipeline_tag: audio-classification --- # CAM++ — CoreML (Apple Neural Engine) CoreML conversion of FunASR's **CAM++** speaker-embedding model (~7.2M params), for on-device speaker verification / diarization on Apple Silicon. Upstream: [iic/speech_campplus_sv_zh-cn_16k-common](https://www.modelscope.cn/models/iic/speech_campplus_sv_zh-cn_16k-common). ## Files | File | Precision | Compute unit | Role | |------|-----------|--------------|------| | `CamPlusPreprocessor.mlmodelc` | FP32 | CPU | waveform → 80-d fbank features | | `CamPlusPlus.mlmodelc` | FP16 | ANE | fbank → 192-d speaker embedding | ## Pipeline ``` waveform → [Preprocessor fp32/CPU] → fbank [1,T,80] → [CAM++ fp16/ANE] → embedding [1,192] (L2-normalize, then cosine for verification/clustering) ``` CAM++ normalizes the fbank internally. The 192-d embedding is used with cosine similarity for speaker verification and diarization clustering. ## Benchmark — AISHELL-1 speaker verification | Metric | Value | |--------|-------| | **EER** | **0.48%** (20 speakers, 6000 same / 6000 diff trials) | | same-speaker cosine | 0.805 | | different-speaker cosine | 0.256 | AISHELL-1 (clean read Mandarin) is easier than the official CN-Celeb (~6-7%). CoreML↔torch embedding cosine 0.9997-0.99999. ## License Weights derive from FunASR's CAM++; upstream license applies. Format conversion only.

Source context: 0 downloads · 0 likes · Pipeline audio-classification · Library coreml · Repo FluidInference/campplus-coreml