Research on mixed music signal and rotational frequency recognition based on improved S-transform

Jingying Guo

doi:10.1117/12.3034261

13 June 2024 Research on mixed music signal and rotational frequency recognition based on improved S-transform

Jingying Guo

Author Affiliations +

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 1318025 (2024) https://doi.org/10.1117/12.3034261
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

Affected by the multiplicity of the sum and rotation of mixed music signals, the corresponding reliability is difficult to be guaranteed when recognizing their frequencies. Therefore, a study on mixed music signals and rotation frequency recognition based on improved S transform is proposed. On the basis of comprehensive analysis of the composition of mixed music signals and spins, the mixed music signals and spins are processed by time-frequency conversion using Stransform. In the phase of frequency recognition, a cyclic neural network (RNN) model is constructed, and the input dimension of the model is set to be consistent with the dimension of extracted and spins frequency characteristics, and the output dimension is consistent with the number of spins, The mixed music signal and rotation can realize frequency recognition by forward and backward propagation in the model. In the test results, the recognition result accuracy rate is stable at more than 77.5%, and the recall rate is stable at more than 76.0%. Compared with the control group, it has obvious advantages.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jingying Guo "Research on mixed music signal and rotational frequency recognition based on improved S-transform", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 1318025 (13 June 2024); https://doi.org/10.1117/12.3034261

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