Artificial disfluency detection, uh no, disfluency generation for the masses

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Tatiana Passali, Thanassis Mavropoulos, Grigorios Tsoumakas, Georgios Meditskos, Stefanos Vrochidis

Published: 2025, Last Modified: 14 Dec 2025Comput. Speech Lang. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•We propose a method for generating realistic repetitions, replacements and restarts.•Results show that the proposed method enhances existing disfluency detection models.•The proposed method outperforms existing rule-based approaches.•The proposed method can be successfully used with few or no annotated data at all.