An N-best candidates-based discriminative training for speech recognition applications
- 1 January 1994
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Speech and Audio Processing
- Vol. 2 (1) , 206-216
- https://doi.org/10.1109/89.260363
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Phonetic recognition using hidden Markov models and maximum mutual information trainingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Maximum mutual information estimation of HMM parameters for continuous speech recognition using the N-best algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A*-admissible heuristics for rapid lexical accessIEEE Transactions on Speech and Audio Processing, 1993
- An improved MMIE training algorithm for speaker-independent, small vocabulary, continuous speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- A tree-trellis based fast search for finding the N-best sentence hypotheses in continuous speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Recent progress on the VOYAGER systemPublished by Association for Computational Linguistics (ACL) ,1990
- A frame-synchronous network search algorithm for connected word recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- Principles of Artificial IntelligencePublished by Springer Nature ,1982
- Connected digit recognition using a level-building DTW algorithmIEEE Transactions on Acoustics, Speech, and Signal Processing, 1981
- A Theory of Adaptive Pattern ClassifiersIEEE Transactions on Electronic Computers, 1967