DocumentCode
3172084
Title
A Research on Recognition of Tibetan Speakers Based on MFCC and Delta Features
Author
Hongzhi, Yu
Author_Institution
China Minorities Inf. Technol. Inst., Northwest Univ. for Nat. LanZhou, Lanzhou, China
Volume
2
fYear
2009
fDate
25-27 Dec. 2009
Firstpage
234
Lastpage
238
Abstract
Through experiment, the paper analyses and extracts MFCC and delta features of different Tibetan speakers and makes comparison. It shows that MFCC has certain stability between frames of the same speaker, while delta feature discriminates speakers better than MFCC does.
Keywords
speaker recognition; Mel-frequency cepstral coefficients; Tibetan speaker recognition; delta features; Cepstral analysis; Character recognition; Data mining; Ear; Feature extraction; Linear predictive coding; Loudspeakers; Mel frequency cepstral coefficient; Speaker recognition; Speech recognition; Delta fearures; MFCC; Recognition; Tibetan;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
Conference_Location
Chongqing
Print_ISBN
978-0-7695-3930-0
Electronic_ISBN
978-1-4244-5423-5
Type
conf
DOI
10.1109/IFCSTA.2009.178
Filename
5384597
Link To Document