Abstract
Earlier hybrid multilayer perceptron (MLP)/hidden Markov model (HMM) continuous speech recognition systems have not modeled context-dependent phonetic effects, sequences of distributions for phonetic models, or gender-based speech consistencies. In this paper we present a new MLP architecture and training procedure for modeling context-dependent phonetic classes with a sequence of distributions. A new training procedure that
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