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Segmentation of spoken dialogue by interjections, disfluent utterances and pauses

机译:通过敏感,失去的话语和暂停进行口语对话的分割

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The paper attempts to segment spontaneous speech of human to human spoken dialogues into a relatively large unit of speech, that is, a sub phrasal unit segmented by interjections, disfluent utterances and pauses. A spontaneous speech model incorporating prosody was developed, in which three kinds of speech segment models and the transition probabilities among them were specified. The segmentation experiments showed that 87.6% of the segment boundaries were located correctly within 50 msec, 81.2% within 30 msec, which showed 10.1 point increase in performance comparing with the initial model without prosodic information.
机译:本文试图将人类的自发言语分段为人口语对话中的一个相对较大的言语单位,即由互感,破坏的话语和暂停分段的子短语单位。开发了一种包含韵律的自发语音模型,其中指定了三种语音段模型和转换概率。分割实验表明,87.6%的段边界位于50毫秒内的50毫秒内,在30毫秒内81.2%,表现出与没有韵律信息的初始模型的性能增加。

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