DocumentCode
2731398
Title
Design and implementation of speaker recognition system
Author
Zhang, Zhenling ; Jia, Yangli ; Xie, Guang
Author_Institution
Sch. of Comput. Sci. & Technol., Liaocheng Univ., Liaocheng, China
fYear
2011
fDate
15-17 July 2011
Firstpage
559
Lastpage
562
Abstract
At present, there is important practical significance to solve the problem of speaker recognition in the noising environments. In this paper, a recognition system based on wavelet analysis and support vector machine is designed and implemented in allusion to the noise problem. Wavelet analysis is applied to separate the speech and noise, enhancing the speech consequently. Ultimately the sample-based training and testing of SVM classifier are completed to achieve the speaker´s classification.
Keywords
pattern classification; signal denoising; speaker recognition; support vector machines; wavelet transforms; SVM classifier; noise problem; sample based training; speaker classification; speaker recognition system; support vector machine; wavelet analysis; Feature extraction; Noise reduction; Speaker recognition; Speech; Speech recognition; Support vector machines; Wavelet analysis; Speaker Recognition; Support Vector Machine; Wavelet Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-9699-0
Type
conf
DOI
10.1109/ICSESS.2011.5982487
Filename
5982487
Link To Document