Filled Pause Modeling
نویسندگان
چکیده
This document presents a streamlined approach to modeling filled pause distribution in spontaneous speech and populating a large clean corpus, making use of only the SRILM toolkit and a small training set. Although used for filled pause modeling, it can be fairly general and may be used to model other types of disfluencies, punctuation or sentence boundaries, with a minimal set of changes.
منابع مشابه
Acoustic Feature Analysis and Discriminative Modeling of Filled Pauses for Spontaneous Speech Recognition
Most automatic speech recognizers (ASRs) concentrate on read speech, which is different from spontaneous speech with disfluencies. ASRs cannot deal with speech with a high rate of disfluencies such as filled pauses, repetitions, lengthening, repairs, false starts and silence pauses. In this paper, we focus on the feature analysis and modeling of the filled pauses “ah,” “ung,” “um,” “em,” and “h...
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تاریخ انتشار 2006