Links Between Markov Models and Multilayer Perceptrons
暂无分享,去创建一个
[1] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .
[2] F. Jelinek,et al. Continuous speech recognition by statistical methods , 1976, Proceedings of the IEEE.
[3] Frederick Jelinek,et al. Speech Recognition by Statistical Methods , 1976 .
[4] S. S. Marcus. ERIS-context sensitive coding in speech perception , 1981 .
[5] Michael D. Brown,et al. An algorithm for connected word recognition , 1982, ICASSP.
[6] Lalit R. Bahl,et al. A Maximum Likelihood Approach to Continuous Speech Recognition , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Hermann Ney,et al. The use of a one-stage dynamic programming algorithm for connected word recognition , 1984 .
[8] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[9] T. D. Harrison,et al. Boltzmann machines for speech recognition , 1986 .
[10] 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.
[11] Robert W. Brodersen,et al. An integrated-circuit-based speech recognition system , 1986, IEEE Trans. Acoust. Speech Signal Process..
[12] C. J. Wellekens,et al. Global connected digit recognition using Baum-Welch algorithm , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[13] D. Rumelhart. Learning Internal Representations by Error Propagation, Parallel Distributed Processing , 1986 .
[14] Sadaoki Furui,et al. Speaker-independent isolated word recognition using dynamic features of speech spectrum , 1986, IEEE Trans. Acoust. Speech Signal Process..
[15] Richard P. Lippmann,et al. Two-stage discriminant analysis for improved isolated-word recognition , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[16] Peter F. Brown,et al. The acoustic-modeling problem in automatic speech recognition , 1987 .
[17] John J. Hopfield,et al. CONCENTRATION INFORMATION IN TIME: ANALOG NEURAL NETWORKS WITH APPLICATIONS TO SPEECH RECOGNITION PROBLEMS. , 1987 .
[18] Hermann Ney,et al. Training of phoneme models in a sentence recognition system , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[19] Pineda,et al. Generalization of back-propagation to recurrent neural networks. , 1987, Physical review letters.
[20] David J. Burr. Speech Recognition Experiments with Perceptrons , 1987, NIPS.
[21] R. Lippmann,et al. An introduction to computing with neural nets , 1987, IEEE ASSP Magazine.
[22] Terrence J. Sejnowski,et al. Parallel Networks that Learn to Pronounce English Text , 1987, Complex Syst..
[23] Lokendra Shastri,et al. Learning Phonetic Features Using Connectionist Networks , 1987, IJCAI.
[24] C. J. Wellekens,et al. Explicit time correlation in hidden Markov models for speech recognition , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[25] Kevin J. Lang,et al. Speech recognition using time‐delay neural networks , 1988 .
[26] Esther Levin,et al. Accelerated Learning in Layered Neural Networks , 1988, Complex Syst..
[27] Fernando J. Pineda,et al. Dynamics and architecture for neural computation , 1988, J. Complex..
[28] A. Poritz,et al. Hidden Markov models: a guided tour , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.
[29] B. Merialdo. Phonetic recognition using hidden Markov models and maximum mutual information training , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.
[30] Hy Murveit,et al. 1000-word speaker-independent continuous-speech recognition using hidden Markov models , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.
[31] Hervé Bourlard,et al. A Continuous Speech Recognition System Embedding MLP into HMM , 1989, NIPS.
[32] Hervé Bourlard,et al. Generalization and Parameter Estimation in Feedforward Netws: Some Experiments , 1989, NIPS.
[33] Hervé Bourlard,et al. Speech pattern discrimination and multilayer perceptrons , 1989 .
[34] Geoffrey E. Hinton. Connectionist Learning Procedures , 1989, Artif. Intell..
[35] Geoffrey E. Hinton,et al. Phoneme recognition using time-delay neural networks , 1989, IEEE Trans. Acoust. Speech Signal Process..
[36] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[37] Keinosuke Fukunaga,et al. Introduction to statistical pattern recognition (2nd ed.) , 1990 .