Disfluent Cues for Enhanced Speech Understanding in Large Language Models (2023.findings-emnlp)
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| Challenge: | a large number of language models struggle to handle disfluencies, authors say . when a speaker hesitates, interrupts themselves, repeats or corrects words, or abandons phrases, it can make their speech fragmented. |
| Approach: | They propose to use disfluent queries to “clean” spontaneous speech . they propose to apply disfluencies to models that use different types of speech repairs . |
| Outcome: | The proposed model improves on a reading comprehension task using disfluent queries . the results suggest that disfluencies can improve model performance, rather than their removal . |
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