Model adaptation for long convolutional distortion by maximum likelihood based state filtering approach CK Raut, T Nishimoto, S Sagayama Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 …, 2006 | 40 | 2006 |
Development of a phonetic system for large vocabulary Arabic speech recognition MJF Gales, F Diehl, CK Raut, M Tomalin, PC Woodland, K Yu Automatic Speech Recognition & Understanding, 2007. ASRU. IEEE Workshop on …, 2007 | 30 | 2007 |
Model adaptation by state splitting of HMM for long reverberation CK Raut, T Nishimoto, S Sagayama Ninth European Conference on Speech Communication and Technology, 2005 | 23 | 2005 |
Model composition by lagrange polynomial approximation for robust speech recognition in noisy environment. CK Raut, T Nishimoto, S Sagayama INTERSPEECH, 2004 | 12 | 2004 |
Adaptive training using discriminative mapping transforms. CK Raut, K Yu, MJF Gales INTERSPEECH, 1697-1700, 2008 | 10 | 2008 |
Maximum likelihood based HMM state filtering approach to model adaptation for long reverberation CK Raut, T Nishimoto, S Sagayama Automatic Speech Recognition and Understanding, 2005 IEEE Workshop on, 353-356, 2005 | 7 | 2005 |
Bayesian discriminative adaptation for speech recognition CK Raut, MJF Gales Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE …, 2009 | 5 | 2009 |
Discriminative adaptive training and Bayesian inference for speech recognition CK Raut University of Cambridge, 2010 | 3 | 2010 |
Adaptation and Adaptive Training A Discriminative, CK Raut | | 2009 |
ROBUST SPEECH RECOGNITION WITH ADDITIVE NOISE AND LONG REVERBERATION CK Raut | | |