nips nips2002 nips2002-29 nips2002-29-reference knowledge-graph by maker-knowledge-mining

29 nips-2002-Analysis of Information in Speech Based on MANOVA

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Author: Sachin S. Kajarekar, Hynek Hermansky

Abstract: We propose analysis of information in speech using three sources - language (phone), speaker and channeL Information in speech is measured as mutual information between the source and the set of features extracted from speech signaL We assume that distribution of features can be modeled using Gaussian distribution. The mutual information is computed using the results of analysis of variability in speech. We observe similarity in the results of phone variability and phone information, and show that the results of the proposed analysis have more meaningful interpretations than the analysis of variability. 1

reference text

[1] S. S. Kajarekar , N. Malayath and H. Hermansky,

[2] S. S. Kajarekar, N. Malayath and H. Hermansky,

[3] T. M. Cover and J. A. Thomas, Elements of Information theory, John Wiley & Sons, Inc., 1991.

[4] J. A. Bilmes,

[5] H. Hermansky H. Yang, S. van Vuuren,

[6] H. H. Yang, S. Sharma, S. van Vuuren and H. Hermansky,

[7] R. V. Hogg and E. A. Tannis, Statistical Analysis and Inference, PRANTICE HALL, fifth edition, 1997.