%0 Journal Article
	%A Safdar Tanweer and  Abdul Mobin and  Afshar Alam
	%D 2014
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 93, 2014
	%T Analysis of Combined Use of NN and MFCC for Speech Recognition
	%U https://publications.waset.org/pdf/10000797
	%V 93
	%X The performance and analysis of speech recognition
system is illustrated in this paper. An approach to recognize the
English word corresponding to digit (0-9) spoken by 2 different
speakers is captured in noise free environment. For feature extraction,
speech Mel frequency cepstral coefficients (MFCC) has been used
which gives a set of feature vectors from recorded speech samples.
Neural network model is used to enhance the recognition
performance. Feed forward neural network with back propagation
algorithm model is used. However other speech recognition
techniques such as HMM, DTW exist. All experiments are carried
out on Matlab.

	%P 1736 - 1739