|
Tomoko
MATSUI Professor, Intelligent Information Processing Group, Department of Statistical Modeling |
|
Selected Papers
[Papers]
(1)Birkenes, O., Matsui, T., Tanabe, K., Siniscalchi, S. M., Myrvoll, T. A.,
and Johnsen, M. H. (2010): Penalized Logistic Regression with HMM
Log-Likelihood Regressors for Speech Recognition, IEEE Trans. SAP (to
appear).
(2)Yamada, M., Sugiyama, M., Matsui, T., (2010): Semi-supervised Speaker
Identification under Covariate Shift, Signal Processing (to appear).
(3)Lane, I. R., Kawahara, T., Matsui, T. and Nakamura, S. (2007): Out-of-domain
utterance detection using classification confidences of multiple topics, IEEE
Trans. Speech & Audio Process., 15(1),150-161.
(4)Matsui, T. and Tanabe, K.(2006): Comparative Study of Speaker Identification
Methods: dPLRM, SVM and GMM, IEICE, E89-D(3), 1066-1073.
(5)Matsui, T., Soong, F.K. and Juang, B. -H.(2005):Verification of Multi-Class
Recognition Decision: A Classification Approach, IEICE, E88-D(3), 455-462.
(6)Lane, I. R., Kawahara, T. Matsui, T. and Nakamura, S.(2005): Dialogue Speech
Recognition by Combining Hierarchical Topic Classification and Language Model
Switching, IEICE, E88-D(3), 446-454.
(7)Jitsuhiro, T., Matsui, T. and Nakamura, S.(2004): Automatic generation of
non-uniform HMM topologies based on the MDL criterion, IEICE, E87-D(8), 2121-2129.
(8)Matsui, T. and Aikawa, K.(2003): Robust model for speaker verification
against session-dependent utterance variation, IEICE, E86-D(4) , 712-718.
(9)Markov, K., Matsui, T., Gruhn, R. Zhang, J. and Nakamura, S.(2003): Noise
and channel distortion robust ASR system for DARPA SPINE2 task, IEICE, E86-D(3), 497-504.
(10)Zhang, J., Markov, K., Matsui, T. and Nakamura, S. (2003): A study on
acoustic modeling of pauses for recognizing noisy conversational speech, IEICE,
E86-D(3), 489-496.
(11)Okuda, K., Matsui, T. and Nakamura, S. (2003): An acoustic modeling for
stressed speech in error recovery Japanese utterances (in Japanese), IEICE, J86-D-II(1), 42-51.
(12)Okuda, K., Matsui, T., Naito, M., Sagisaka, Y. and Nakamura, S. (2002):
Creation and evaluation of a large-scale Japanese speech database with wide
regional and age distribution (in Japanese), The Journal of The Acoustical
Society of Japan, 58(9) , 569-578.
(13)Matsui, T. and Furui, S. (1998): N-best-based unsupervised speaker
adaptation for speech recognition,Computer Speech and Language, 12, 41-50.
(14)Matsui, T., Nishitani, T. and Furui, S. (1998): A study of model and a
priori threshold updating in speaker verification (in Japanese), IEICE, J81-D-II(2), 268-276.
(15)Matsui, T., Kanno, T. and Furui, S. (1996): Speaker recognition using HMM
composition in noisy environments, Computer Speech and Language, 10, 107-116.
(16)Matsui, T. and Furui, S. (1996): Text-prompted speaker recognition (in
Japanese), IEICE, J79-D-II(5), 647-656.
(17)Matsui, T. and Furui, S. (1996): Likelihood normalization using a phoneme-
and speaker-independent model for speaker verification, Speech Communication,
17(1-2), 109-116.
(18)Matsui, T. and Furui, S. (1994): Comparison of text-independent speaker
recognition methods using VQ-distortion and discrete/continuous HMMs (in
Japanese), IEICE, J77-A(4), 601-606.
(19)Matsui, T. and Furui, S. (1992): Text-independent speaker recognition using
vocal tract and pitch information (in Japanese), IEICE, J75-A(4), 703-709.
[Letter]
(1)Matsui, T. and Furui, S. (1994): Comparison of text-independent speaker recognition
methods using VQ-distortion and discrete/continuous HMMs, IEEE Trans.,
SAP, 2, 456-459.
Membership of
Academic Societies
Member of
IEEE, ISCA, the Acoustic Society of Japan, and IEICE
Professional
Services
Speech
Communication Subject Editor, ISCA Workshop Odyssey Scientific Committee, IEICE
Councilor, IEICE IBIS Technical Group Member, IEICE BS Technical Group Member,
SC37 WG3 Member of Information Technology Standards Commission of Japan, and
Reviewing Staff of ASJ and IEICE Journals