Paper Info
Title
Recognition Of Speech Commands Using A Modified Neural Fuzzy Network And An Improved Ga
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.
Year
DOI
Venue
2003
10.1109/FUZZ.2003.1209360
PROCEEDINGS OF THE 12TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1 AND 2
Keywords
Field
DocType
artificial neural networks,filter bank,neural networks,linear predictive coding,speech processing,hidden markov models,speech recognition,feature extraction,genetic algorithms
Speech processing,Computer science,Fuzzy logic,Speech recognition,Feature extraction,Time delay neural network,Artificial intelligence,Hidden Markov model,Artificial neural network,Genetic algorithm,Machine learning,Linear predictive coding
Conference
Citations 
PageRank 
References 
4
0.55
6
Authors
4
Name
Order
Citations
PageRank
K. F. Leung1311.84
F. H. Frank Leung218316.00
H. K. Lam33618193.15
Peter Kwong-Shun Tam415724.65