PAC-Bayesian approach for minimization of phoneme error rate
暂无分享,去创建一个
[1] Lalit R. Bahl,et al. Maximum mutual information estimation of hidden Markov model parameters for speech recognition , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[2] Hsiao-Wuen Hon,et al. Speaker-independent phone recognition using hidden Markov models , 1989, IEEE Trans. Acoust. Speech Signal Process..
[3] Biing-Hwang Juang,et al. Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.
[4] Steve Young,et al. A review of large-vocabulary continuous-speech recognition , 1996 .
[5] Mari Ostendorf,et al. From HMM's to segment models: a unified view of stochastic modeling for speech recognition , 1996, IEEE Trans. Speech Audio Process..
[6] Steve Young,et al. A review of large-vocabulary continuous-speech , 1996, IEEE Signal Process. Mag..
[7] Biing-Hwang Juang,et al. Minimum classification error rate methods for speech recognition , 1997, IEEE Trans. Speech Audio Process..
[8] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[9] 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.
[10] Ben Taskar,et al. Max-Margin Markov Networks , 2003, NIPS.
[11] Koby Crammer,et al. Online Passive-Aggressive Algorithms , 2003, J. Mach. Learn. Res..
[12] David A. McAllester. Simplified PAC-Bayesian Margin Bounds , 2003, COLT.
[13] Thomas Hofmann,et al. Large Margin Methods for Structured and Interdependent Output Variables , 2005, J. Mach. Learn. Res..
[14] Samy Bengio,et al. Discriminative kernel-based phoneme sequence recognition , 2006, INTERSPEECH.
[15] Pavel Matejka,et al. Hierarchical Structures of Neural Networks for Phoneme Recognition , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[16] Lawrence K. Saul,et al. Comparison of Large Margin Training to Other Discriminative Methods for Phonetic Recognition by Hidden Markov Models , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[17] Eric Fosler-Lussier,et al. Conditional Random Fields for Integrating Local Discriminative Classifiers , 2008, IEEE Transactions on Audio, Speech, and Language Processing.
[18] Lawrence K. Saul,et al. A fast online algorithm for large margin training of continuous density hidden Markov models , 2009, INTERSPEECH.
[19] Daniel Jurafsky,et al. Hidden Conditional Random Fields for phone recognition , 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.
[20] Geoffrey E. Hinton,et al. Phone recognition using Restricted Boltzmann Machines , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[21] Koby Crammer,et al. Efficient online learning with individual learning-rates for phoneme sequence recognition , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.