Phonetic recognition using hidden Markov models and maximum mutual information training
- 6 January 2003
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
No abstract availableThis publication has 7 references indexed in Scilit:
- Rapid speaker adaptation using a probabilistic spectral mappingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- An IBM PC based large-vocabulary isolated-utterance speech recognizerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Maximum mutual information estimation of hidden Markov model parameters for speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Context-dependent phonetic Markov models for large vocabulary speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- The Acoustic-Modeling Problem in Automatic Speech Recognition.Published by Defense Technical Information Center (DTIC) ,1987
- A decision theorectic formulation of a training problem in speech recognition and a comparison of training by unconditional versus conditional maximum likelihoodIEEE Transactions on Acoustics, Speech, and Signal Processing, 1983
- A Maximum Likelihood Approach to Continuous Speech RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1983