Research on voiceprint recognition based on depth learning

Yaowu Dun; Shuaijie Shan; Jianbao Liu

doi:10.1117/12.2615286

15 October 2021 Research on voiceprint recognition based on depth learning

Yaowu Dun, Shuaijie Shan, Jianbao Liu

Proceedings Volume 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering; 1193311 (2021) https://doi.org/10.1117/12.2615286
Event: 2021 International Conference on Neural Networks, Information and Communication Engineering, 2021, Qingdao, China

Abstract

Deep learning has excelled in feature representation and pattern classification in recent years, providing a new direction for the further development of voiceprint recognition technology. The current vocal recognition technology has been developed and widely used for a long time. Based on the analysis of the basic principles of vocal recognition, the current research status of vocal recognition technology is summarized, the current vocal recognition technology based on deep learning is analyzed, and finally the application characteristics and advantages of deep learning in speaker recognition are summarized, the problems and challenges faced by the current vocal recognition research are further analyzed, and the deep We further analyze the problems and challenges faced by the current voice recognition research, and look forward to the prospects of voice recognition research under the framework of deep learning.

Citation Download Citation

Yaowu Dun, Shuaijie Shan, and Jianbao Liu "Research on voiceprint recognition based on depth learning", Proc. SPIE 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering, 1193311 (15 October 2021); https://doi.org/10.1117/12.2615286

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