13:20-15:00 Oral Session
| 5. (Invited) | "What HMMs Can't Do: A Graphical Model Perspective", Jeff Bilmes (Univ. Washington) |
| 6. (Invited) | "Minimum Bayes Risk Estimation and Decoding in Large Vocabulary Automatic Speech Recognition", William Byrne (Cambridge University) |
15:15-16:05 Poster Abstract Presentation
16:15-17:15 Poster Session
| 7. | "Asynchronous Articulatory Feature Recognition using Dynamic Bayesian Networks",
Mirjam Wester, Joe Frankel, and Simon King (University of Edinburgh, Great Britain) |
| 8. | "Dynamic Bayesian Networks for Acoustic and Language Modeling",
Khalid Daoudi (IRIT-UPS, France) |
| 9. | "Reformulating the HMM as a Trajectory Model",
Keiichi Tokuda, Heiga Zen, Tadashi Kitamura (Nagoya Institute of Technology) |
| 10. | "Speech recognition method based on trajectories generated by Kalman filters",
Yasuhiro Minami (NTT) |
| 11. | "Robustness of acoustic model topology determined by Variational
Bayesian Estimation and Clustering for speech recognition for
different speech data sets.",
Shinji Watanabe and Atsushi Nakamura (NTT) |
| 12. | "Variational Bayesian Based Topology Training and Mixture
Component Splitting for Acoustic Modeling",
Takatoshi Jitsuhiro, Satoshi Nakamura (ATR) |
| 13. | "Mixtures of Probabilistic Principal Component Analyzers in Speech Recognition",
Mike Schuster (NTT) |
| 14. | "Aggregate A Posteriori Linear Regression Adaptation of Hidden Markov Models",
Jen-Tzung Chien and Chih-Hsien Huang (National Cheng Kung University,Taiwan) |
| 15. | "Speaker recognition without feature extraction process",
Tomoko Matsui and Kunio Tanabe (The Institute of Statistical Mathematics) |
| 16. | "Speaker Recognition using a Non-parametric Speaker Model Representation and Earth Mover's Distance",
Yoshiaki Umeda, Shingo Kuroiwa, Satoru Tsuge, Fuji Ren (Univ. of Tokusima) |
17:15-17:45 Discussions
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