Disfluency Detection : Classifying repeated words as planned or unplanned

Abstract

Improving the accuracy of speech recognition depends partly on the ability to correctly recognize disfluencies in conversational speech. Conversational data contains instances of both unplanned repetitions (e.g. and it’s filling in with with grass...) and planned repetitions (e.g. We have had very very poor luck with uh all of the core crops...). If a word… (More)

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