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    2025-03-26T21:44:58+00:00
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    CAM++ offers several key features:
    - **Efficiency and Accuracy**: High accuracy in speaker verification with low computational complexity.
    - **Auto Registration**: Supports automatic speaker registration with a threshold.
    - **Lightweight Design**: The ONNX model size is 28M, with no dependencies on PyTorch or torchaudio.
    - **Architectural Enhancements**: Utilizes D-TDNN as the backbone with an enhanced Context-Aware Masking (CAM) module and multi-granularity pooling.

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