Connected-digit speaker-dependent speech recognition using a neural network with time-delayed connections
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[1] Carol Y. Espy-Wilson,et al. An acoustic-phonetic approach to speech recognition : application to the semivowels , 1987 .
[2] M. Konishi,et al. Axonal delay lines for time measurement in the owl's brainstem. , 1988, Proceedings of the National Academy of Sciences of the United States of America.
[3] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[4] T. Martin,et al. On the effects of varying filter bank parameters on isolated word recognition , 1982 .
[5] P. Mueller,et al. General Principles of Operations in Neuron Nets with Application to Acoustical Pattern Recognition , 1962 .
[6] F. Jelinek,et al. Continuous speech recognition by statistical methods , 1976, Proceedings of the IEEE.
[7] Richard P. Lippmann,et al. An introduction to computing with neural nets , 1987 .
[8] S. W. Kuffler. Discharge patterns and functional organization of mammalian retina. , 1953, Journal of neurophysiology.
[9] J J Hopfield,et al. Learning algorithms and probability distributions in feed-forward and feed-back networks. , 1987, Proceedings of the National Academy of Sciences of the United States of America.
[10] J. Hopfield,et al. Computing with neural circuits: a model. , 1986, Science.
[11] John Lazzaro,et al. A machine for neural computation of acoustical patterns with application to real time speech recognition , 1987 .
[12] C. Myers,et al. A level building dynamic time warping algorithm for connected word recognition , 1981 .
[13] James A. Kaltenbach,et al. Spectral and temporal response patterns of single units in the chinchilla dorsal cochlear nucleus , 1987, Experimental Neurology.
[14] Richard F. Lyon,et al. An analog electronic cochlea , 1988, IEEE Trans. Acoust. Speech Signal Process..
[15] J J Hopfield,et al. Neural computation by concentrating information in time. , 1987, Proceedings of the National Academy of Sciences of the United States of America.
[16] David J. Burr. Speech Recognition Experiments with Perceptrons , 1987, NIPS.
[17] T. D. Harrison,et al. Boltzmann machines for speech recognition , 1986 .
[18] Geoffrey E. Hinton,et al. Learning sets of filters using back-propagation , 1987 .
[19] L. R. Rabiner,et al. An introduction to the application of the theory of probabilistic functions of a Markov process to automatic speech recognition , 1983, The Bell System Technical Journal.
[20] Geoffrey E. Hinton,et al. Phoneme recognition using time-delay neural networks , 1989, IEEE Trans. Acoust. Speech Signal Process..
[21] John J. Hopfield,et al. CONCENTRATION INFORMATION IN TIME: ANALOG NEURAL NETWORKS WITH APPLICATIONS TO SPEECH RECOGNITION PROBLEMS. , 1987 .
[22] M. Bush,et al. Network-based connected digit recognition , 1987, IEEE Trans. Acoust. Speech Signal Process..
[23] G. W. Hughes,et al. Minimum Prediction Residual Principle Applied to Speech Recognition , 1975 .
[24] D Zipser,et al. Learning the hidden structure of speech. , 1988, The Journal of the Acoustical Society of America.
[25] Teuvo Kohonen,et al. The 'neural' phonetic typewriter , 1988, Computer.
[26] Bernard Gold. Hopfield model applied to vowel and consonant discrimination , 1986 .
[27] S. Shamma. Speech processing in the auditory system. II: Lateral inhibition and the central processing of speech evoked activity in the auditory nerve. , 1985, The Journal of the Acoustical Society of America.