Maximum mutual information based reduction strategies for cross-correlation based joint distributional modeling

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 1998, Pages 469-472

  Bilmes, J A ^a,b  

^a INTERNATIONAL COMPUTER SCIENCE INSTITUTE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; SIGNAL PROCESSING; SPEECH RECOGNITION; STEREOPHONIC BROADCASTING;

CROSS CORRELATIONS; DISTRIBUTIONAL MODELS; FEATURE VECTORS; JOINT DISTRIBUTIONS; MAXIMUM MUTUAL INFORMATION; MUTUAL INFORMATIONS; REDUCTION STRATEGY; SPEECH RECOGNITION SYSTEMS;

VECTORS;

EID: 0031619381     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.1998.674469     Document Type: Conference Paper

References (8)

1. Jeff A. Bilmes. Joint distributional modeling with cross-correlation based features. In Proc. ASRU, Santa Barbara, December 1997. IEEE.
2. C.K. Chow and C.N. Liu. Approximating discrete probability distributions with dependence trees. IEEE Trans, on Info. Theory, 14:462-467,1968.
3. T.M. Cover and J.A. Thomas. Elements of Information Theory. Wiley, 1991.
4. Solomon Kullback. Information Theory And Statistics. Dover, 1968.
5. N. Morgan and H. Bourlard. Continuous speech recognition. IEEE Signal Processing Magazine, 12(3), May 1995.
6. A.C.Morris. An information-theoretical study of speech processing in the peripheral auditory system and cochlear nuchas. PhD thesis, Institut National Polytechnique De Grenoble, 1992.
7. M. Ostendorf, V. Digalakis, and O. Kimball. From HMM's to segment models: A unified view of stochastic modeling for speech recognition. IEEE Trans. Speech and Audio Proc, 4(5):360-378, September 1996.
8. J. Pearl. Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann, 1988.