Unsupervised training method, training apparatus, and training program for an N-gram language model based upon recognition reliability
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United States of America Patent
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Jan 3, 2017
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Mar 10, 2015
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Mar 27, 2014
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Abstract
A computer-based, unsupervised training method for an N-gram language model includes reading, by a computer, recognition results obtained as a result of speech recognition of speech data; acquiring, by the computer, a reliability for each of the read recognition results; referring, by the computer, to the recognition result and the acquired reliability to select an N-gram entry; and training, by the computer, the N-gram language model about selected one of more of the N-gram entries using all recognition results.
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