TY - GEN
T1 - Speaker recognition using multiple kernel learning based on conditional entropy minimization
AU - Ogawa, Tetsuji
AU - Hino, Hideitsu
AU - Reyhani, Nima
AU - Murata, Noboru
AU - Kobayashi, Tetsunori
PY - 2011
Y1 - 2011
N2 - We applied a multiple kernel learning (MKL) method based on information-theoretic optimization to speaker recognition. Most of the kernel methods applied to speaker recognition systems require a suitable kernel function and its parameters to be determined for a given data set. In contrast, MKL eliminates the need for strict determination of the kernel function and parameters by using a convex combination of element kernels. In the present paper, we describe an MKL algorithm based on conditional entropy minimization (MCEM). We experimentally verified the effectiveness of MCEM for speaker classification; this method reduced the speaker error rate as compared to conventional methods.
AB - We applied a multiple kernel learning (MKL) method based on information-theoretic optimization to speaker recognition. Most of the kernel methods applied to speaker recognition systems require a suitable kernel function and its parameters to be determined for a given data set. In contrast, MKL eliminates the need for strict determination of the kernel function and parameters by using a convex combination of element kernels. In the present paper, we describe an MKL algorithm based on conditional entropy minimization (MCEM). We experimentally verified the effectiveness of MCEM for speaker classification; this method reduced the speaker error rate as compared to conventional methods.
KW - MCEM
KW - Multiple kernel learning
KW - speaker recognition
UR - http://www.scopus.com/inward/record.url?scp=80051657839&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80051657839&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2011.5946918
DO - 10.1109/ICASSP.2011.5946918
M3 - Conference contribution
AN - SCOPUS:80051657839
SN - 9781457705397
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 2204
EP - 2207
BT - 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
T2 - 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Y2 - 22 May 2011 through 27 May 2011
ER -