Paper
1 April 2024 Design of voiceprint recognition algorithm based on triplet-loss-optimized deep learning
Zhendong Xu, Feng Gao, Yuebo Jia, Ziyu Gu, Yande Liu, Xu Jun
Author Affiliations +
Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130821F (2024) https://doi.org/10.1117/12.3026446
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China
Abstract
Voiceprint recognition is a technology that verifies or identifies individuals by analysing their speech signals. Traditional voiceprint recognition methods have issues like inaccurate feature extraction and weak robustness. To enhance the performance of voiceprint recognition, this paper adopts the triplet loss and its optimization. By employing the optimized triplet loss, we can effectively improve the accuracy and robustness of voiceprint recognition.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhendong Xu, Feng Gao, Yuebo Jia, Ziyu Gu, Yande Liu, and Xu Jun "Design of voiceprint recognition algorithm based on triplet-loss-optimized deep learning", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130821F (1 April 2024); https://doi.org/10.1117/12.3026446
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KEYWORDS
Deep learning

Speaker recognition

Detection and tracking algorithms

Education and training

Feature extraction

Data modeling

Neural networks

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