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.
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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Voice Recognition, Feature Extraction, Feature matching, voice signal. Back propagation, Mel-frequency Cepstral Coefficients “MFCC”.