Research on bird sound recognition based on deep learning

Tao Sui; Fan Yang; Ruiqiang Wang; Xiao Li; Fang Liu

doi:10.1117/12.2686471

10 August 2023 Research on bird sound recognition based on deep learning

Tao Sui, Fan Yang, Ruiqiang Wang, Xiao Li, Fang Liu

Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 127592V (2023) https://doi.org/10.1117/12.2686471
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China

Abstract

To address the problems of low classification accuracy in bird sound recognition algorithms, a bird sound recognition method based on FBank feature extraction is proposed. FBank features are extracted from bird audio data, trained with Transformer model, and confusion matrix of the model is obtained by adjusting learning rate and optimizing loss function. Tests have shown that the proposed method has good accuracy in identifying 10 types of bird sounds.

Citation Download Citation

Tao Sui, Fan Yang, Ruiqiang Wang, Xiao Li, and Fang Liu "Research on bird sound recognition based on deep learning", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 127592V (10 August 2023); https://doi.org/10.1117/12.2686471

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