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一个使用数据增强的CNN声音分类机制

Hung-Chi Chu1, Young-Lin Zhang1, Hao-Chu Chiang1

  • 1Department of Information and Communication Engineering, Chaoyang University of Technology, Taichung 41349, Taiwan.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括

深度学习使用卷积神经网络 (CNN) 和Mel-Frequency Cepstral Coefficients (MFCCs) 改进了声音分类. 数据增强显著提高了准确性,即使数据有限,提高了复杂数据集的性能.

关键词:
在美国,CNN是CNN.信号处理 信号处理 信号处理声音分类 声音分类 声音分类

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