A hybrid SVM/HMM acoustic modeling approach to automatic speech recognition

8th International Conference on Spoken Language Processing, ICSLP 2004

Volumn , Issue , 2004, Pages 661-664

  Stadermann, J ^a   Rigoll, G ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS SPEECH RECOGNITION; SUPPORT VECTOR MACHINES;

ACOUSTIC MODEL; AUTOMATIC SPEECH RECOGNITION; POSTERIOR PROBABILITY; SVM/HMM; TRAINING DATA; WORD ERROR RATE;

SPEECH RECOGNITION;

EID: 85009070831     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. H. Bourlard and N. Morgan, Connectionist Speech Recognition: A Hybrid Approach. Kluwer Academic Publishers, 1994.
2. J. Stadermann and G. Rigoll, "Comparing NN Paradigms in Hybrid NN/HMM Speech Recognition using Tied Posteriors," in IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), St. Thomas, U.S. Virgin Islands, Nov. 2003.
3. A. Ganapathiraju, J. Hamaker, and J. Picone, "Hybrid SVM/HMM Architectures for Speech Recognition," in Proc. of Neural Information Processing Systems (NIPS), 2000.
4. J. Stadermann and G. Rigoll, "Flexible Feature Extraction and HMM Design for a Hybrid Distributed Speech Recognition System in Noisy Environments," in Proc. ICASSP, Hongkong, China, Apr. 2003.
5. C. J. C. Burges, A tutorial on support vector machines for pattern recognition. Bell Laboratories, Lucent Technologies, 1998.
6. J. C. Platt, "Probabilistic outputs for support vector machines and comparison to regularized likelihood methods," in Advances in Large Margin Classifiers, A. Smola, P. Bartlett, B. Schoelkopf, and D. Schuurmans, Eds. MIT Press, 2000, pp. 61-74.
7. H. G. Hirsch and D. Pearce, "The AURORA experimental framework for the performance evaluation of speech recognition systems under noisy conditions," in ISCAITRWASR2000, 2000.
8. H. Hermansky and N. Morgan, "RASTA processing of speech," IEEE Transactions on Speech and Audio Processing, Vol. 2, no. 4, pp. 578-589, 1994.
9. R. Collobert, S. Bengio, and J. Mariéthoz, "Torch: a modular machine learning software library," IDIAP, Tech. Rep. 02-46, 2002. [Online]. Available: http://www.torch.ch