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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP | 2011-06-23 15:30 |
Aichi | Nagoya Univ. | Bayesian speech recognition based on model structure integration Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.)  SP2011-32 |
This paper proposes an acoustic modeling technique using multiple model structures based on a Bayesian framework for spe... [more] | SP2011-32 pp.11-16 |
| SP, NLC | 2009-12-22 15:50 |
Tokyo | Univ. of Tokyo | Factor analysis models representing various voice characteristics for HMM based speech synthesis Kyosuke Kazumi, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) NLC2009-28 SP2009-92 |
This paper describes factor analysis models for realizing various voice characteristics in the HMM-based speech synthe... [more] |
NLC2009-28 SP2009-92 pp.177-182 |
| PRMU | 2009-03-14 10:00 |
Miyagi | Tohoku Institute of Technology | Face recognition based on separable lattice 2-D HMM considering rotational variations Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda (NIT) PRMU2008-263 |
In image recognition systems,it needs to deal with geometrical variaions of images such as size, location and rotaion.S... [more] |
PRMU2008-263 pp.159-164 |
| NC, MBE (Joint) |
2009-03-12 13:50 |
Tokyo | Tamagawa Univ. | Model Learning of Normalized Gaussian Networks Using On-line Information Bottleneck EM Algorithm Satoshi Imai, Hiroyuki Seki (Nara Inst. of Sci and Tech.) NC2008-143 |
In this report, we propose a new learning method of stochastic models which have hidden variables. This method estimate... [more] |
NC2008-143 pp.237-242 |
| NC, MBE (Joint) |
2008-12-20 11:05 |
Aichi | Nagoya Inst. Tech. | A Study on Variational Bayes Method with the Primitive Initial Point Yuta Ishikawa, Ichiro Takeuchi (NIT), Ryohei Nakano (Chubu Univ.) NC2008-75 |
The variational bayes (VB) method is widely used as an approximation of the bayes method. Since the objective functio... [more] |
NC2008-75 pp.13-18 |
| SP, NLC | 2008-12-10 16:10 |
Tokyo | Waseda Univ. | Speech Recognition Based on Statistical Models Including Multiple Decision Trees Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Institute of Technology) NLC2008-61 SP2008-116 |
This paper proposes a speech recoginition technique using multiple decision trees. In the use of context dependent model... [more] | NLC2008-61 SP2008-116 pp.221-226 |
| SP | Toyama | Toyama Prefectural University | Acoustic Modeling Based on Model Structure Annealing for Speech Recognition Sayaka Shiota, Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nitech) SP2007-35 |
This paper proposes a joint optimization technique of phonetic decision trees and state sequences for HMM-based speech r... [more] | SP2007-35 pp.67-72 |
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| NC | 2007-03-15 15:30 |
Tokyo | Tamagawa University | Deterministic Annealing in Variational Baysian Algorithm Kentaro Katahira (Univ. Tokyo/RIKEN), Kazuho Watanabe (Tokyo Tech), Masato Okada (Univ. Tokyo/RIKEN) |
Variational Bayes (VB) algorithm is widely used as an approximation of Bayesian method. The VB algorithm can approximate... [more] | NC2006-183 pp.177-182 |
| PRMU | 2006-12-14 10:00 |
Fukui | Face Recognition Based on Hidden Markov Eigenface Model Kouji Higaki, Yoshihiko Nankaku, Keiichi Tokuda (nitech) |
This paper proposes Hidden Markov Eigenface Models (HMEMs) in which the eigenfaces are integrated into separable lattice... [more] | PRMU2006-162 pp.7-12 |
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