DocumentCode
542190
Title
Speaker recognition using adaptively boosted decision tree classifier
Author
Foo, Say Wei ; Lim, Eng Guan
Author_Institution
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798
Volume
1
fYear
2002
fDate
13-17 May 2002
Abstract
In this paper, a novel approach for speaker recognition is proposed. The approach makes use of adaptive boosting (AdaBoost) and C4.5 decision trees for closed set, text-dependent speaker recognition. A subset of 20 speakers, 10 male and 10 female, drawn from the YOHO speaker verification corpus is used to assess the performance of the system. Results reveal that an accuracy of 99.5% of speaker identification may be achieved.
Keywords
Entropy; Equations; Gain measurement; Measurement uncertainty; Radio access networks; Roads;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location
Orlando, FL, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.2002.5743678
Filename
5743678
Link To Document