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Technical Session - SP20

Session SP20:	Acoustic Modeling and Adaptation (Poster)
Time and Place:	Thursday, May 14, 1:00 pm - 3:00 pm, Ballroom 4A
Chair:	S. Sagayama (NTT Human Interface Labs, Japan)

1:00 pm	SP20.1 Clustering via the Bayesian Information Criterion with Applications in Speech Recognition S. Chen, P. Gopalakrishnan (IBM, USA); [abstract] [manuscript]
	SP20.2 Restructuring Gaussian Mixture Density Functions in Speaker-Independent Acoustic Model A. Nakamura (ATR Interpreting Telecommunications Research Labs, Japan); [abstract] [manuscript]
	SP20.3 Using Aggregation to Improve the Performance of Mixture Gaussian Acoustic Models T. Hazen, A. Halberstadt (MIT Lab for Computer Science, USA); [abstract] [manuscript]
	SP20.4 Semi-Tied Covariance Matrices M. Gales (IBM T.J. Watson Research, USA); [abstract] [manuscript]
	SP20.5 Maximum Likelihood Modeling with Gaussian Distributions for Classification R. Gopinath (IBM, USA); [abstract] [manuscript]
	SP20.6 Full Expansion of Context-Dependent Networks in Large Vocabulary Speech Recognition M. Mohri, M. Riley, D. Hindle, A. Ljolje, F. Pereira (AT&T Labs - Research, USA); [abstract] [manuscript]
	SP20.7 Dynamically Configurable Acoustic Models for Speech Recognition M. Hwang, X. Huang (Microsoft Research, USA); [abstract] [manuscript]
	SP20.8 Training of Subspace Distribution Clustering Hidden Markov Model B. Mak, E. Bocchieri (AT&T Labs - Research, USA); [abstract] [manuscript]