Voice recognition Using back propagation algorithm in neural networks
Abdelmajid Hassan Mansour, Gafar Zen Alabdeen Salh, Hozayfa Hayder Zeen Alabdeen "Voice recognition Using back propagation algorithm in neural networks". International Journal of Computer Trends and Technology (IJCTT) V23(3):132-139, May 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
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 Mel-frequency cepstral coefficients, which is one of the
most important factors in achieving high recognition accuracy.
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Keywords
Voice Recognition, Feature Extraction, Feature
matching, voice signal. Back propagation, Mel-frequency
Cepstral Coefficients “MFCC”.