DocumentCode :
3213866
Title :
Speech recognition using neural networks
Author :
Tsenov, Georgi T. ; Mladenov, Valeri M.
Author_Institution :
Dept. Theor. of Electr. Eng., Tech. Univ. of Sofia, Sofia, Bulgaria
fYear :
2010
fDate :
23-25 Sept. 2010
Firstpage :
181
Lastpage :
186
Abstract :
This paper presents investigation on speech recognition classification performance when using different standard neural networks structures as a classifier. Those cases include usage of a Feed-forward Neural Network (NN) with back propagation algorithm and a Radial Basis Functions (RBF) Neural Network.
Keywords :
backpropagation; pattern classification; radial basis function networks; speech recognition; RBF neural network; back propagation algorithm; classifier; feedforward neural network; radial basis functions; speech recognition; Artificial neural networks; Cepstrum; Hidden Markov models; Markov processes; Spectrogram; Speech; Speech recognition; Feedforward Neural Network; Mel Frequency Cepstrum Coefficients; Neural networks; Radial Basis Functions Neural Network; Signal Preprocessing; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Network Applications in Electrical Engineering (NEUREL), 2010 10th Symposium on
Conference_Location :
Belgrade
Print_ISBN :
978-1-4244-8821-6
Type :
conf
DOI :
10.1109/NEUREL.2010.5644073
Filename :
5644073
Link To Document :
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