A Study Of Voiceprint Recognition Technology Based on Deep Learning

被引：1

作者：

Li, Jingyi ^{[1
]}

Xu, Qin ^{[1
]}

Kadoch, Michel ^{[2
]}

机构：

[1] Chongqing Coll Mobile Telecommun, Sch Big Data & Software, Chongqing, Peoples R China

[2] Univ Quebec, ETS, Dept Elect Engn, Quebec City, PQ, Canada

来源：

2022 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC | 2022年

关键词：

Voiceprint Recognition; Deep Learning; Effective Combination;

D O I：

10.1109/IWCMC55113.2022.9824220

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Voiceprint recognition technology is a high-quality identification technology, which is currently widely used in all walks of life and brings great convenience to our lives. In order to better promote the actual application range and effects of voiceprint recognition technology, the research and realization of its technology has extremely far-reaching significance. This paper mainly analyzes the basic process of voiceprint recognition, technical indicators, fac-tors that affect the effect of voiceprint recognition, and the current research status of voiceprint recognition technology. In addition, it analyzes the ad-vantages of the current mature deep learning technology, as well as the main problems existing in the current voiceprint recognition research work, and gives directions for the next step in the effective combination of deep learn-ing technology for voiceprint recognition research work.

引用

页码：24 / 27

页数：4

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