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Research on the Voiceprint Recognition Based on Bp-Ga Algorithm

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DOI: 10.23977/icamcs.2018.043

Author(s)

Yanfeng Kong, Lianxing Jia, Jiang Zhang

Corresponding Author

Yanfeng Kong

ABSTRACT

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.).

KEYWORDS

Voiceprint recognition, artificial intelligence, BP-GA, wavelet transform

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