Speed improvements in a Missing Data-based speech recogniser by Gaussian selection
暂无分享,去创建一个
[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..