Speed improvements in a Missing Data-based speech recogniser by Gaussian selection

[1]  Naveen Parihar,et al.  Analysis of the Aurora large vocabulary evaluations , 2003, INTERSPEECH.

[2]  Brian Kan-Wing Mak,et al.  Subspace distribution clustering hidden Markov model , 2001, IEEE Trans. Speech Audio Process..

[3]  Frank K. Soong,et al.  Optimal clustering of multivariate normal distributions using divergence and its application to HMM adaptation , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[4]  Koichi Shinoda,et al.  High speed speech recognition using tree-structured probability density function , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[5]  Hugo Van hamme Robust speech recognition using missing feature theory in the cepstral or LDA domain , 2003, INTERSPEECH.

[6]  Chin-Hui Lee,et al.  A structural Bayes approach to speaker adaptation , 2001, IEEE Trans. Speech Audio Process..

[7]  Khalid Choukri,et al.  SPEECHDAT-CAR. A Large Speech Database for Automotive Environments , 2000, LREC.

[8]  Hugo Van hamme,et al.  PROSPECT features and their application to missing data techniques for robust speech recognition , 2004, INTERSPEECH.

[9]  Hugo Van hamme Handling Time-Derivative Features in a Missing Data Framework for Robust Automatic Speech Recognition , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[10]  Phil D. Green,et al.  Robust automatic speech recognition with missing and unreliable acoustic data , 2001, Speech Commun..