Publications

Found 11 results
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Konig, Y., Morgan N., & Chandra C. (1991).  GDNN: A Gender-Dependent Neural Network for Continuous Speech Recognition.
Konig, Y., & Morgan N. (1994).  Modeling Dynamics in Connectionist Speech Recognition - The Time Index Model.
Konig, Y., Bourlard H., & Morgan N. (1996).  REMAP - Experiments with Speech Recognition. Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP-96).
Konig, Y., Bourlard H., & Morgan N. (1995).  REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities - Application to Transition-Based Connectionist Speech Recognition. Proceedings of the Advances in Neural Information Processing Systems 8 Conference (NIPS 8). 388-394.
Konig, Y., Bourlard H., & Morgan N. (1995).  Remap Modeling for Connectionist Speech Recognition. Proceedings of the 15th Annual Speech Research Symposium.
Konig, Y., Bourlard H., & Morgan N. (1995).  REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities - Application to Transition-Based Connectionist Speech Recognition. Proceedings of the 9th Annual Conference on Neural Information Processing Systems (NIPS 1995).
Konig, Y., & Morgan N. (1994).  Modeling Dynamics in Connectionist Speech Recognition - the Time Index Model. Proceedings of the Third International Conference on Spoken Language Processing (ICSLP 94). 1523-1526.
Konig, Y., Morgan N., & Chandra C. (1991).  GDNN: A Gender-Dependent Neural Network for Continuous Speech Recognition.
Konig, Y., & Morgan N. (1992).  GDNN: A Gender-Dependent Neural Network for Continuous Speech Recognition. Proceedings of the International Joint Conference on Neural Networks.
Konig, Y., Morgan N., Wooters C., Abrash V., Cohen M., & Franco H. (1993).  Modeling Consistency in a Speaker Independent Continuous Speech Recognition System. V, 682-687.
Konig, Y., & Morgan N. (1993).  Supervised and Unsupervised Clustering of the Speaker Space for Connectionist Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech & Signal Processing.