文章基本信息

标题：Voice recognition Using back propagation algorithm in neural networks
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作者：Abdelmajid Hassan Mansour ; Gafar Zen Alabdeen Salh ; Hozayfa Hayder Zeen Alabdeen 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2015
卷号：23
期号：3
页码：132-139
DOI：10.14445/22312803/IJCTT-V23P128
出版社：Seventh Sense Research Group
摘要：One of the most terms in the biometric technologies is the voice recognition. It’s used to provide an authentication to any system on basis of the voice features instead of images. This research aims to build a system of voice recognition using back propagation algorithm in neural networks, by comparing the voice signal of the speaker with recorded voice signals in the database, and extracting the main features of the voice signal using Melfrequency cepstral coefficients, which is one of the most important factors in achieving high recognition accuracy.
关键词：Voice Recognition; Feature Extraction; Featurematching; voice signal. Back propagation; Mel-frequencyCepstral Coefficients “MFCC”.