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
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;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9699-0
DOI :
10.1109/ICSESS.2011.5982487
