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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3213866