DocumentCode
2863689
Title
Comparison of linear predictive analysis methods for ANN-based speaker identification
Author
Inal, M. ; Bütün, Erhan ; Erkan, Kadir ; Yildirum, Mehmet ; Çeken, Celal
Author_Institution
Dept. of Electron. & Comput. Educ., Kocaeli Univ., Japan
fYear
2000
fDate
2000
Firstpage
109
Lastpage
112
Abstract
This paper studies the parametrization of speech using linear predictive (LP) analysis and its application to speaker identification. The task of speaker classification is realized using multilayer perceptron. The system is evaluated on speaker set for speaker identification. The system is also tested with cepstral and reflection coefficients, and the results obtained are compared
Keywords
feature extraction; linear predictive coding; multilayer perceptrons; speaker recognition; cepstral coefficient; feature extraction; linear predictive model; multilayer perceptron; neural nets; reflection coefficient; speaker identification; Autoregressive processes; Cepstral analysis; Computer science education; Feature extraction; Multilayer perceptrons; Predictive models; Signal analysis; Speaker recognition; Speech analysis; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Network Applications in Electrical Engineering, 2000. NEUREL 2000. Proceedings of the 5th Seminar on
Conference_Location
Belgrade
Print_ISBN
0-7803-5512-1
Type
conf
DOI
10.1109/NEUREL.2000.902395
Filename
902395
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