Connectionist probability estimators in HMM speech recognition
نویسندگان
چکیده
منابع مشابه
Connectionist probability estimators in HMM speech recognition
We are concerned with integrating connectionist networks into a hidden Markov model (HMM) speech recognition system. This is achieved through a statistical interpretation of connectionist networks as probability estimators. We review the basis of HMM speech recognition and point out the possible benefits of incorporating connectionist networks. Issues necessary to the construction of a connecti...
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This report is concerned with integrating connectionist networks into a hidden Markov model (HMM) speech recognition system, This is achieved through a statistical understanding of connectionist networks as probability estimators, first elucidated by Hervé Bourlard. We review the basis of HMM speech recognition, and point out the possible benefits of incorporating connectionist networks. We dis...
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In this paper we present a training method and a network achitecture for the estimation of context-dependent observation probabilities in the framework of a hybrid Hidden Markov Model (HMM) / Multi Layer Perceptron (MLP) speaker independent continuous speech recognition system. The context-dependent modeling approach we present here computes the HMM context-dependent observation probabilities u...
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ژورنال
عنوان ژورنال: IEEE Transactions on Speech and Audio Processing
سال: 1994
ISSN: 1063-6676
DOI: 10.1109/89.260359