基于tensorflow 2.7.0进行音频事件识别, 使用ESC-50数据集
包括自己搭建的CNN模型以及CRNN模型
利用tenflow-lite保存为移动端的模型结构,对模型进行了压缩,包括不同的量化与剪枝方法
对压缩前后不同模型在测试集上的效果进行了评估
将tflite模型部署到手机上测试压缩前后的性能收益
基于Tensorflow模型使用CNN与CRNN模型对ESC50数据集进行音频事件检测,结果导出为tflite,并进行剪枝量化
License: MIT License
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