The Effect of Speech Disfluencies on Turn-Taking

نویسندگان

  • Lucy Li
  • Kartik Sawhney
  • Divya Saini
چکیده

Though modern dialogue systems have improved in processing language, the fluidity and rhythm of back-and-forth dialogue is still lacking. In particular, humans have the ability to predict end of turns accurately and quickly, and they are also comfortable with speaker overlaps in some situations, such as affirmative reinforcement (uh-huh) of the present speaker. In this present paper, we investigated the role of filler words and discourse markers in indicating turn continuations and endings, using the Switchboard Corpus. We confirm that pause duration alone is a poor predictor of end-of-turn, while acoustic and simple lexical features improve performance to 80% accuracy.

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تاریخ انتشار 2017