Acoustic model training using greedy EM

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

Volumn I, Issue , 2005, Pages

  Hu, Rusheng ^a   Li, Xiaolong ^a   Zhao, Yunxin ^a  

^a University of Missouri   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTICS; ERROR ANALYSIS; GAUSSIAN NOISE (ELECTRONIC); INFORMATION ANALYSIS; MATHEMATICAL MODELS; SIGNAL PROCESSING;

GAUSSIAN MIXTURE DENSITY (GMD); MODEL COMPLEXITY;

SPEECH RECOGNITION;

EID: 33646767156     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1415209     Document Type: Conference Paper

References (8)

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3. J. J. Verbeek and N. Vlassis "Efficient Greedy Learning of Gaussian Mixture Models," Neural Comp. 5(2): 469-485, 2003.
4. S. S. Chen and P.S. Gopalakrishnan, "Clustering via the Bayesian Information Criterion with Applications in Speech Recognition," Proc. ICASSP, vol. 2, 645-648, 1998.
5. L. R. Rabiner and B.H. Juang, Fundamentals of Speech Recognition, Prentice Hall, 1993.
6. B. H. Juang and L. R. Rabiner, "The Segmental K-Means Algorithm for Estimating Parameters of Hidden Markov Models," IEEE Trans. ASSP, Vol. 38. No. 9, 1639-1641 1990.
7. R. M. Neal and G. E. Hinton, "A View of the EM Algorithm that Justifies Incremental, Sparse, and Other Variants," Learning in Graphic Models, 355-368, Kluwer Academic Publishers, Dordrecht, The Netherlands, 1998.
8. The HTK Toolkit, http://htk.eng.cam.ac.uk/.