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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5743678
