ZY: Open-Weight Models and Datasets

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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Audio classification.

Reported licenses: cc-by-4.0. Open a record to review its specific license and conditions.

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Models

Model · Audio classification

pyannote-speaker-diarization.axera

pyannote/speaker-diarization-community-1（cc-by-4.0）说话人日志模型的 AX650N 量化部署包：输入 16 kHz 单声道会议音频，输出 RTTM 说话人时序标签。 - 模型: 8 个 axmodel（U16 激活 / S8 权重） - 依赖: Python 仅 numpy + scipy + scikit-learn + soundfile + axengine；C++ 为预编译 aarch64 可执行文件常用参数：--step 2.0（滑动步长，2.5 更快 +0~1.5 pp）、--num-speakers 0（0=自动估计）。切换 NPU2 版：--model-dir modelsnpu2（runax650.sh 通过环境变量 MODELDIR 指定）。 - 输入: 16 kHz 单声道 wav；输出: RTTM（SPEAKER 1 SPEAKERXX ） - 流水线: sincnet 分割（im2col + MatMul）→ 4 层 BiLSTM（96 步 cell，FP32 状态跨块） → 说话人嵌入（ResNet34 + TSTP）→ PLDA/AHC/VBx 聚类 - InstanceNorm / TSTP 统计池化在 U16 量化域数值崩坏，放主机 FP32 计算 - 完整转换源码见 GitHub: pyannote-speaker-diarization.AXERA 指标表所用 AMI / AliMeeting / VoxConverse 三个测试集的下载链接、参考处理与评分脚本见 ¹…

Open weights cc-by-4.0

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