End-to-end speaker recognition system design

Liheng Wang; Xinran Ji; Shengjie Liao; Hailong Zhang

doi:10.1117/12.3011280

7 March 2024 End-to-end speaker recognition system design

Liheng Wang, Xinran Ji, Shengjie Liao, Hailong Zhang

Proceedings Volume 13088, MIPPR 2023: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 130880S (2024) https://doi.org/10.1117/12.3011280
Event: Twelfth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2023), 2023, Wuhan, China

Abstract

Like fingerprints, facial information and other biological characteristics, human voice also carries the physiological characteristics of living things. It is unique, stable personal information that cannot be stolen or lost. The speaker's voiceprint can contain changes that remain unchanged, so these features make the voiceprint features deeper, more elusive, and more difficult to forge, making the authentication stronger and safer. Based on the basic characteristics of human voiceprints, this paper designs a voiceprint recognition system based on neural networks. In order to enable the network to better use original data to obtain output results, time and frequency domain masking methods are used for data enhancement. In the network part, the encoder-decoder method uses the transformer architecture to achieve end-to-end data processing, and uses the triplet loss function to evaluate and optimize the parameters within the neural network to improve the prediction accuracy of the model. Modeling experiments were conducted on the LibriSpeech and CN-Celeb datasets, respectively. The system realizes human voiceprint recognition end-to-end based on deep learning and has been tested to meet the design needs.

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

Citation Download Citation

Liheng Wang, Xinran Ji, Shengjie Liao, and Hailong Zhang "End-to-end speaker recognition system design", Proc. SPIE 13088, MIPPR 2023: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 130880S (7 March 2024); https://doi.org/10.1117/12.3011280

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