Within-utterance correlation in automatic speech recognition
نویسنده
چکیده
Information on relations between separate parts of an utterance can be used to improve the performance of speech recognition systems. In this paper, examples of relations are discussed and some measured data on phone pair correlation is presented. In addition to relations between acoustic events in an utterance, it is also possible to represent relations between acoustic and non-acoustic information. In this way, covariance matrices can express some relations similar to phonetic-acoustic rules. Two alternative recognition methods are proposed to account for these relations. Some correlation data are presented and discussed.
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تاریخ انتشار 2015