DocumentCode
2627685
Title
Voice verification based on nonlinear Ho-Kashyap classifier
Author
Dustor, Adam
Author_Institution
Silesian Univ. of Technol., Gliwice
fYear
2008
fDate
21-25 July 2008
Firstpage
296
Lastpage
300
Abstract
This article presents enhancement of a linear Ho-Kashyap classifier based on kernel functions applied to speaker verification. Obtained decision function is nonlinear. Achieved verification accuracy is compared with classical techniques like Gaussian mixture models and vector quantization. Polish speech corpora ROBOT was applied as a training and testing set. Obtained results are discussed.
Keywords
pattern classification; speech recognition; Gaussian mixture models; Polish speech corpora ROBOT; kernel functions; nonlinear Ho-Kashyap classifier; speaker verification; vector quantization; voice verification; Cepstral analysis; Data acquisition; Feature extraction; Multidimensional systems; Pattern matching; Robotics and automation; Speaker recognition; Speech; Telephony; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Technologies in Electrical and Electronics Engineering, 2008. SIBIRCON 2008. IEEE Region 8 International Conference on
Conference_Location
Novosibirsk
Print_ISBN
978-1-4244-2133-6
Electronic_ISBN
978-1-4244-2134-3
Type
conf
DOI
10.1109/SIBIRCON.2008.4602653
Filename
4602653
Link To Document