Radial Basis Functions for Speech Recognition
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[1] R. Penrose. A Generalized inverse for matrices , 1955 .
[2] Barak A. Pearlmutter. Learning State Space Trajectories in Recurrent Neural Networks , 1989, Neural Computation.
[3] Victor W. Zue,et al. Phonetic classification using multi-layer perceptrons , 1990, International Conference on Acoustics, Speech, and Signal Processing.
[4] Tomaso A. Poggio,et al. Extensions of a Theory of Networks for Approximation and Learning , 1990, NIPS.
[5] Hsiao-Wuen Hon,et al. Speaker-independent phone recognition using hidden Markov models , 1989, IEEE Trans. Acoust. Speech Signal Process..
[6] Geoffrey E. Hinton,et al. Phoneme recognition using time-delay neural networks , 1989, IEEE Trans. Acoust. Speech Signal Process..
[7] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[8] D. Broomhead,et al. Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks , 1988 .
[9] Yoshua Bengio,et al. Programmable execution of multi-layered networks for automatic speech recognition , 1989, CACM.
[10] Yoshua Bengio,et al. Use of multilayer networks for the recognition of phonetic features and phonemes , 1989 .
[11] M. Gori,et al. BPS: a learning algorithm for capturing the dynamic nature of speech , 1989, International 1989 Joint Conference on Neural Networks.
[12] Yoshua Bengio,et al. Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge , 1989, NIPS.
[13] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .