JACIII Vol.27 No.2 pp. 259-270
doi: 10.20965/jaciii.2023.p0259

Research Paper:

Underdetermined Blind Source Separation Method for Speech Signals Based on SOM-DPC and Compressed Sensing

Tao He*, Hui Li**,†, and Zeyu Cheng***

*School of Automation, China University of Geosciences
No.388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

**Department of Otolaryngology, Wuhan Hospital of China University of Geosciences
No.388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

***Wuhan Second Ship Design and Research Institute
No.19 Yang-Qiaohu Road, Jiang-Xia District, Wuhan, Hubei 430200, China

Corresponding author

September 7, 2022
December 18, 2022
March 20, 2023
underdetermined blind source separation, self-organizing mapping, density peak clustering, compressed sensing

Underdetermined blind source separation has received increasing attention in recent years as an effective method for speech-signal processing. Hence, a self-organizing mapping-density peak clustering and compressed sensing approach, which is a two-step approach, is proposed herein to improve the accuracy of underdetermined blind source separation. The approach features the following two aspects: (1) A mixing matrix estimation method based on self-organizing mapping and density peak clustering, which can intuitively determine the number of source signals, remove outliers, and determine the column vector of the mixing matrix based on local density; (2) a compressed sensing-based source signal reconstruction method, which can exploit the sparsity of signals in the frequency domain and use a hierarchical coupling method to reconstruct the source signal accurately and efficiently under the premise that the prior knowledge of the signal is unknown. The proposed method does not require the number of source signals and exhibits excellent performance under different noise conditions. Theoretical analysis and experimental results demonstrate the effectiveness of the proposed method.

Cite this article as:
T. He, H. Li, and Z. Cheng, “Underdetermined Blind Source Separation Method for Speech Signals Based on SOM-DPC and Compressed Sensing,” J. Adv. Comput. Intell. Intell. Inform., Vol.27, No.2, pp. 259-270, 2023.
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Last updated on Mar. 19, 2023