Automated speech recognition using a plurality of different multilayer perception structures to model a plurality of distinct phoneme categories
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United States of America Patent
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Apr 28, 1998
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app pub date -
Mar 19, 1997
filing date -
Jul 7, 1994
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Abstract
For speech recognition systems a method for modeling context-dependent phonetic categories using artificial neural nets has been described. First, linguistically motivated context-clustering is employed to reduce the number of context-dependent categories. Second, phone-specific MLP structures are used where the number of outputs in each MLP is based on the number of left and right contexts occurring in a training database. The structure of each MLP can be automatically determined using the cascade-correlation learning algorithm.
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