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0026982122
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Estimation of hidden Markov model parameters by minimizing empirical error rate
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Albuquerque, New Mexico April ICASSF90
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3
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0031139839
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Minimum classification error rate methods for speech recognition
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May
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B.-H. Juang, W. Chou, and C.-H. Lee. Minimum classification error rate methods for speech recognition. IEEE Transactions on Speech and Audio Processing, 5(3):257-265, May 1997.
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Utterance verification of keyword strings using word-based minimum verification error (WB-MVE) training
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Discriminative adaptation for speaker verification
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F. Korkmazskiy and B.-H. Juang. Discriminative adaptation for speaker verification. In Proc. Int. Conf. on Spoken Language Processing, volume 3, pages 28-31, Philadelphia, USA, 1996. ICSLP'96.
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Korkmazskiy, F.1
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Discriminative training of GMM for speaker identification
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C. Martin del Alamo, F. J. Caminero Gil, C. de la Torre Mu-nilla, and L. Hernandez Gomez. Discriminative training of GMM for speaker identification. In Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, volume 1, pages 89-92, 1996.
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Martin Del Alamo, C.1
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Hernandez Gomez, L.4
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9
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Incremental speaker adaptation with minimum error discriminative training for speaker identification
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C. Martin del Alamo, J. Alvarez, C. de la Torre, F. J. Poy-atos, and L. Hernandez. Incremental speaker adaptation with minimum error discriminative training for speaker identification. In Proc. Int. Conf. on Spoken Language Processing, volume 3, pages 312-315, 1996.
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Martin Del Alamo, C.1
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10
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A segmental K-means training procedure for connected word recognition
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L. R. Rabiner, J. G. Wilpon, and B.-H. Juang. A segmental K-means training procedure for connected word recognition. AT&TBellLabs Tech. J., 65(3):21-31, 1986.
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