Title :
Recognition of speech commands using a modified neural fuzzy network and an improved GA
Author :
Leung, K.F. ; Leung, F.H.F. ; Lam, H.K. ; Tam, P.K.S.
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China
Abstract :
This paper presents the recognition of speech commands using a modified neural-fuzzy network. To train the parameters of the network, an improved genetic algorithm is proposed. As an application example, the proposed speech recognition approach is implemented in an Electronic Book experimentally to illustrate the design and its merits.
Keywords :
feature extraction; fuzzy neural nets; genetic algorithms; speech recognition; Cantonese digit speeches; crossover operation; electronic book reader; feature parameters; improved genetic algorithm; modified neural-fuzzy network; mutation operation; rule base; speech commands recognition; Artificial neural networks; Feature extraction; Filter bank; Fuzzy neural networks; Hidden Markov models; Linear predictive coding; Signal processing algorithms; Speech processing; Speech recognition; Working environment noise;
Conference_Titel :
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN :
0-7803-7810-5
DOI :
10.1109/FUZZ.2003.1209360
