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Document Type : Latin Dissertation
Language of Document : English
Record Number : 152341
Doc. No : ET24133
Main Entry : Hui Ping
Title Proper : Isolated Word Speech Recognition Using Fuzzy Neural TechniquesPOMPES PAR TRANSITIONS MULTIPLES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. speechrecognition requires a lot of intelligence and fault tolerance in the pattern recognitionalgorithms. Fuzzy neural techniques allow etliective decisions in the presence ofuncct intr-. Consequently. the objective of this thesis is to study the fuuy neural techniques['or the application in speech recognition. Two methods are proposed for isolated wordrecognition using fuzzy pattern matching technique and Fuzzy c-means clustering technique.I'hs algorithms are tested based on t~vo LPC-based speech features: line spectrumfrcqusncies and cepstral cost'ficients. It is shown that the fuzzy algorithm is an efficientapproach and can provide reliable and accurate recognition results..
Subject : Electericl tess
: برق
electronic file name : TL48335.pdf
Title and statement of responsibility and : Isolated Word Speech Recognition Using Fuzzy Neural TechniquesPOMPES PAR TRANSITIONS MULTIPLES [Thesis]
 
 
 
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