*Thanh-Thien Le, *Viet Dao, *Linh Van Nguyen, Nhung Nguyen, Linh Ngo Van, Thien Huu Nguyen
NLP
WOTU
Investigating the Impact of ASR Errors on Spoken Implicit Discourse Relation Recognition
September 20, 2022
We present an empirical study investigating the influence of automatic speech recognition (ASR) errors on the spoken implicit discourse relation recognition (IDRR) task. We construct a spoken dataset for this task based on the Penn Discourse Treebank 2.0. On this dataset, we conduct “Cascaded” experiments employing state-of-the-art ASR and text-based IDRR models and find that the ASR errors significantly decrease the IDRR performance. In addition, the “Cascaded” approach does remarkably better than an “End-to-End” one that directly predicts a relation label for each input argument speech pair.
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Linh The Nguyen and Dat Quoc Nguyen
Workshop On Transcript Understanding 2022
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