Modeling between-word coarticulation in continuous speech recognition
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چکیده
This paper describes the addition of between-word coarticulation modeling into SPHINX, an accurate Iarge-vocabulary speakerindependent continuous speech recognition system. Between-word coarticulation is a major source of phonetic variability in continuous speech. By detailed modeling of between-word triphones and utilizing the generalized triphone technique, we obtain an error ;ate reduction of 16% to 29% for different test sets and grannnars on the DARP A Resource Management (RM) Task.
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تاریخ انتشار 1989