Research on the Voiceprint Recognition Based on Bp-Ga Algorithm

被引：0
|
作者：
Kong, Yanfeng [1 ,2 ]
Jia, Lianxing [1 ]
Zhang, Jiang [1 ]
机构：
[1] Natl Def Informat Inst, Wuhan, Hubei, Peoples R China
[2] 92815 Army Branch Weapon, Xiang Shan, Peoples R China
来源：
2018 7TH INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS AND COMPUTER SCIENCE (ICAMCS 2018) | 2019年
关键词：
voiceprint recognition; artificial intelligence; BP-GA; wavelet transform;
D O I：
10.23977/icamcs.2018.043
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In order to improve the performance of voiceprint recognition system, the paper proposes to use BP neural network-genetic algorithm (BP-GA) in voice recognition. The algorithm can overcome the problem that the traditional multi-layer artificial neural network is easy to fall into local minima when it is trained by genetic algorithm. The experimental results show that the BP-GA algorithm has the advantages of faster recognition rate, higher recognition rate and lower error rate, automatic error correction and robustness for different speakers, than the traditional recognition algorithms (LPCC, MFCC, etc.).
引用
收藏
页码：235 / 239
页数：5
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