![]() Other confusing words left in the ``non-filler" category. What are filler words In general, the term filler words refers to short words or phrases that are used in speech or writing for reasons beyond what the words themselves mean, such as to create a pause or to indicate someone isn’t finished speaking. Penalty weight between ``filler" and ``non-filler" categories to deal with In addition, inter-category focal loss adaptively adjusts the The auxiliaryĬategories force the model to explicitly model the confusing words by mining Filler words, or discourse markers, are words, phrases or sounds that fill up space in writing or conversation without adding substance. Method that effectively addresses this challenge by adding auxiliary categoriesĭynamically and applying an additional inter-category focal loss. ![]() In this paper, we propose a novel filler word detection Our preliminary experiments reveal that the biggest challenge in filler wordĭetection is that fillers can be easily confused with other hard categories The fluency, confidence, and professionalism of speech. ![]() It isĭesirable to automatically detect and remove them in recordings, as they affect Formal: I didn't know how to respond to that.Download a PDF of the paper titled Filler Word Detection with Hard Category Mining and Inter-Category Focal Loss, by Zhiyuan Zhao and 5 other authors Download PDF Abstract: Filler words like ``um" or ``uh" are common in spontaneous speech. ![]()
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