MMIE training of large vocabulary recognition systems

[1]  S. Young,et al.  Lattice-based discriminative training for large vocabulary speech recognition , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[2]  Herman J. M. Steeneken,et al.  Multi-lingual assessment of speaker independent large vocabulary speech-recognition systems: THE SQALE-PROJECT , 1995, EUROSPEECH.

[3]  P.C. Woodland,et al.  The 1994 HTK large vocabulary speech recognition system , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[4]  Hermann Ney,et al.  Large vocabulary continuous speech recognition using word graphs , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[5]  Yves Normandin.  Optimal splitting of HMM Gaussian mixture components with MMIE training , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[6]  Mari Ostendorf,et al.  Lattice-based search strategies for large vocabulary speech recognition , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[7]  Philip C. Woodland,et al.  The development of the 1994 HTK large vocabulary speech recognition system , 1995 .

[8]  Shigeru Katagiri,et al.  Prototype-based minimum classification error/generalized probabilistic descent training for various speech units , 1994, Comput. Speech Lang..

[9]  Régis Cardin,et al.  MMIE training for large vocabulary continuous speech recognition , 1994, ICSLP.

[10]  Steve J. Young,et al.  Large vocabulary continuous speech recognition using HTK , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[11]  Renato De Mori,et al.  High-performance connected digit recognition using maximum mutual information estimation , 1994, IEEE Trans. Speech Audio Process..

[12]  S. J. Young,et al.  Tree-based state tying for high accuracy acoustic modelling , 1994 .

[13]  Steve J. Young,et al.  A One Pass Decoder Design For Large Vocabulary Recognition , 1994, HLT.

[14]  Mitch Weintraub,et al.  The Hub and Spoke Paradigm for CSR Evaluation , 1994, HLT.

[15]  Steve J. Young,et al.  MMI training for continuous phoneme recognition on the TIMIT database , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[16]  Lalit R. Bahl,et al.  Estimating hidden Markov model parameters so as to maximize speech recognition accuracy , 1993, IEEE Trans. Speech Audio Process..

[17]  Yves Normandin,et al.  Hidden Markov models, maximum mutual information estimation, and the speech recognition problem , 1992 .

[18]  A. Nadas,et al.  A generalization of the Baum algorithm to rational objective functions , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[19]  B. Merialdo.  Phonetic recognition using hidden Markov models and maximum mutual information training , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[20]  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.