TY - GEN
T1 - A novel speaker identification algorithm using classifiers fusion
AU - Deriche, Mohamed A.
AU - Naseem, Imran A.
PY - 2010
Y1 - 2010
N2 - In this paper, a novel speaker identification technique using the Dempster-Shafer evidence theory is discussed. The objective is to fuse the complementary information present from different classifiers into a single decision. Here, we use a decreasing function of the distance (of the classifiers) as the belief function. We show that a combined classifier based on the Dempster-Shafer theory outperforms the individual LPCC and MFCC classifiers when used individually.
AB - In this paper, a novel speaker identification technique using the Dempster-Shafer evidence theory is discussed. The objective is to fuse the complementary information present from different classifiers into a single decision. Here, we use a decreasing function of the distance (of the classifiers) as the belief function. We show that a combined classifier based on the Dempster-Shafer theory outperforms the individual LPCC and MFCC classifiers when used individually.
UR - https://www.scopus.com/pages/publications/78650302782
U2 - 10.1109/ISSPA.2010.5605485
DO - 10.1109/ISSPA.2010.5605485
M3 - Conference contribution
AN - SCOPUS:78650302782
SN - 9781424471676
T3 - 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
SP - 145
EP - 148
BT - 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
T2 - 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
Y2 - 10 May 2010 through 13 May 2010
ER -