Deep Neural Network-Hidden Markov Model Hybrid Systems

Author:

Yu Dong,Deng Li

Publisher

Springer London

Reference32 articles.

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2. Aradilla, G., Vepa, J., Bourlard, H.: An acoustic model based on kullback-leibler divergence for posterior features. In: Proceedings of International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol. 4, pp. IV–657 (2007)

3. Bahl, L., Brown, P., De Souza, P., Mercer, R.: Maximum mutual information estimation of hidden markov model parameters for speech recognition. In: Proceedings of International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol. 11, pp. 49–52 (1986)

4. Bourlard, H., Morgan, N., Wooters, C., Renals, S.: CDNN: a context dependent neural network for continuous speech recognition. In: Proceedings of International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol. 2, pp. 349–352 (1992)

5. Bourlard, H., Wellekens, C.J.: Links between Markov models and multilayer perceptrons. IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) 12(12), 1167–1178 (1990)

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