Title:    Acoustic Modeling II   (Lecture)

Time: Wednesday, March 17, 1:00 PM - 3:00 PM

Location:    Tucson 5

Chair: Hermann Ney    (RWTH Aachen - University of Technology)

1:00 PM    SP-11.1
Frame Discrimination Training of HMMs for Large Vocabulary Speech Recognition
Dan Povey, Philip C Woodland (Cambridge University Engineering Dept)
[abstract]  [manuscript]

1:15 PM SP-11.2
Discriminative Mixture Weight Estimation for Large Gaussian Mixture Models
Francoise Beaufays (Speech Technology and Research Laboratory, SRI International, Menlo Park, CA.), Mitchel Weintraub, Yochai Konig
[abstract]  [manuscript]

1:30 PM SP-11.3
Modeling disfluency and background events in ASR for a natural language understanding task
Richard C. Rose, Giuseppe Riccardi (AT&T Labs - Research, 180 Park Ave., Florham Park, NJ 07932)
[abstract]  [manuscript]

1:45 PM SP-11.4
Decision Tree State Tying Based on Penalized Bayesian Information Criterion
WU CHOU, Wolfgang Reichl (Bell Labs., Lucent Technologies)
[abstract]  [manuscript]

2:00 PM SP-11.5
A 2D Extended HMM for Speech Recognition
Jiayu Li (Department of Statistics, The University of Chicago), Alejandro Murua (Department of Statistics, University of Washington)
[abstract]  [manuscript]

2:15 PM SP-11.6
Probabilistic Classification of HMM States for Large Vocabulary Continuous Speech Recognition
Xiaoqiang Luo, Frederick Jelinek (CLSP, The Johns Hopkins University)
[abstract]  [manuscript]

2:30 PM SP-11.7
The HDM: A Segmental Hidden Dynamic Model of Coarticulation
Hywel B Richards, John S Bridle (Dragon Systems UK)
[abstract]  [manuscript]

2:45 PM SP-11.8
Maximum Likelihood Estimates for Exponential Type Density Families
Sankar Basu, Charles A Micchelli, Peder A Olsen (IBM)
[abstract]  [manuscript]

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Last Update: February 4, 1999 Ingo Höntsch