Publications

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Bilmes, J. A., & Kohn P. (1990).  Ring Array Processor (RAP): Software Architecture.
Bilmes, J. A., Vahdat A., Hsu W., & Im E-J. (1997).  Empirical Observations of Probabilistic Heuristics for the Clustering Problem.
Bilmes, J. A. (1997).  A Gentle Tutorial on the EM Algorithm Including Gaussian Mixtures and Baum-Welch.
Bilmes, J. A., Asanović K., Chin C-W., & Demmel J. (1998).  The PHiPAC v1.0 Matrix-Multiply Distribution..
Bilmes, J. A. (1999).  Natural Statistical Models for Automatic Speech Recognition.
Bilmes, J. A. (1999).  Buried Markov Models for Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1999).
Bilmes, J. A. (1998).  Data-Driven Extensions to HMM Statistical Dependencies. Proceedings of the Fifth International Conference on Spoken Language Processing (ICSLP '98). 69-72.
Bilmes, J. A. (1998).  Maximum Mutual Information Based Reduction Strategies for Cross-Correlation Based Joint Distributional Modeling. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1998). 469-472.
Bilmes, J. A. (1997).  Joint Distributional Modeling with Cross-Correlation Based Features. Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings (ASRU-97). 148-155.
Bilmes, J. A., Morgan N., Wu S-L., & Bourlard H. (1996).  Stochastic Perceptual Speech Models with Durational Dependence. Proceedings of the Fourth International Conference on Spoken Language Processing (CSLP-96).
Bilmes, J. A., & Kirchhoff K. (2003).  Factored Language Models and Generalized Parallel Backoff. Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL 2003). 1.
Bilmes, J. A. (1999).  Natural Statistical Models for Automatic Speech Recognition.