Apparatus and method for recognizing speech based on a deep-neural-network (DNN) sound model
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United States of America Patent
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May 1, 2018
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Jun 20, 2016
filing date -
Jan 18, 2016
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Abstract
A speech recognition apparatus based on a deep-neural-network (DNN) sound model includes a memory and a processor. As the processor executes a program stored in the memory, the processor generates sound-model state sets corresponding to a plurality of pieces of set training speech data included in multi-set training speech data, generates a multi-set state cluster from the sound-model state sets, and sets the multi-set training speech data as an input node and the multi-set state cluster as output nodes so as to learn a DNN structured parameter.
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