Hypothesis spaces for minimum Bayes risk training in large vocabulary speech recognition
暂无分享,去创建一个
[1] Philip C. Woodland,et al. Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models , 1995, Comput. Speech Lang..
[2] Hermann Ney,et al. Comparison of discriminative training criteria and optimization methods for speech recognition , 2001, Speech Commun..
[3] Daniel Povey,et al. Minimum Phone Error and I-smoothing for improved discriminative training , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[4] Daniel Povey,et al. Large scale discriminative training of hidden Markov models for speech recognition , 2002, Comput. Speech Lang..
[5] Zdravko Kacic,et al. Overall risk criterion estimation of hidden Markov model parameters , 2002, Speech Commun..
[6] Peter Y. Chen,et al. Correlation: Parametric and Nonparametric Measures , 2002 .
[7] William J. Byrne,et al. Pinched lattice minimum Bayes risk discriminative training for large vocabulary continuous speech recognition , 2004, INTERSPEECH.
[8] Jonathan Le Roux,et al. Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error , 2007, IEEE Transactions on Audio, Speech, and Language Processing.