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- W1567995929 abstract "The basic principles of the hybrid HMM/MLP (hidden Markov model/multilayer perceptron) approach are reviewed and extended to triphone models. It is also shown how the statistical interpretation of the MLP output values can act upon the development of other algorithms and help them understand their behavior, which is the case with the a priori probabilities and the radial basis function networks. The advantages of a speech recognition system incorporating both MLPs and HMMs are the best discrimination and the ability to incorporate multiple sources of evidence (features, temporal context) without restrictive assumptions of distributions or statistical independence. >" @default.
- W1567995929 created "2016-06-24" @default.
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- W1567995929 date "2002-12-09" @default.
- W1567995929 modified "2023-09-27" @default.
- W1567995929 title "Neural networks for statistical inference: Generalizations with applications to speech recognition" @default.
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- W1567995929 doi "https://doi.org/10.1109/ijcnn.1991.170411" @default.
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