A Parzen window based derivation of minimum classification error from the theoretical bayes classification risk

7th International Conference on Spoken Language Processing, ICSLP 2002

Volumn , Issue , 2002, Pages 2465-2468

  McDermott, Erik ^a   Katagiri, Shigeru ^a  

^a Nippon Telegraph and Telephone Corporation   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); RISK ASSESSMENT; SPEECH RECOGNITION; RISK PERCEPTION;

BAYES CLASSIFICATION; DENSITY ESTIMATES; MINIMUM CLASSIFICATION ERROR; MINIMUM CLASSIFICATION ERROR CRITERIONS; PARZEN WINDOWS; RECOGNITION SYSTEMS; RISK ESTIMATES; SPEECH RECOGNITION SYSTEMS; CRITERION FUNCTIONS; LOSS FUNCTIONS; WINDOW-BASED;

RISK PERCEPTION; SPEECH COMMUNICATION;

EID: 85009284741     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Chou, W., Juang, B.-H. and Lee, C.-H. (1992). Segmental GPD Training of HMM Based Speech Recognizer. Proceedings of the IEEE, International Conference on Acoustics, Speech and Signal Processing, vol. 1, pp. 473-476.
2. Duda, R. O. and Hart, PE. (1973). Pattern Classification and Scene Analysis. John Wiley & Sons.
3. Juang, B.-H. and Katagiri, S. (1992). Discriminative Learning for Minimum Error Classification. IEEE Transactions on Signal Processing, vol. 40, no. 12, pp. 3043-3053.
4. Juang, B.-H. and Katagiri, S. (1992). Discriminative Training. Journal of the Acoustical Society of Japan, Special Issue, vol. 13, no. 6, pp. 333-339.
5. Katagiri, S., Lee, C.-H. and Juang, B.-H. (1991). New Discriminative Training Algorithms Based on the Generalized Descent Method. Proceedings of the 1991 IEEE Workshop on Neural Networks for Signal Processing, pp. 299-308.
6. Katagiri, S., Juang, B.-H. and Lee, C.-H. (1998). Pattern Recognition Using a Family of Design Algorithms based upon the Generalized Probabilistic Descent Method. Proceedings of the IEEE, vol. 86, no. 11, pp. 2345-2373.
7. McDermott, E. (1997). Discriminative Training for Speech Recognition. Doctoral thesis, Waseda University, Tokyo.
8. McDermott, E., Biem, A., Tenpaku, S., and Katagiri, S. (2000). Discriminative Training for Large Vocabulary Telephone-based Name Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing.