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cs.CL2023★ 1 cited
The Pipeline System of ASR and NLU with MLM-based Data Augmentation toward STOP Low-resource Challenge
Hayato Futami, Jessica Huynh, Siddhant Arora +6
This paper describes our system for the low-resource domain adaptation track (Track 3) in Spoken Language Understanding Grand Challenge, which is a part of ICASSP Signal Processing…
cs.CL2023★ 1 cited
A Study on the Integration of Pipeline and E2E SLU systems for Spoken Semantic Parsing toward STOP Quality Challenge
Siddhant Arora, Hayato Futami, Shih-Lun Wu +6
Recently there have been efforts to introduce new benchmark tasks for spoken language understanding (SLU), like semantic parsing. In this paper, we describe our proposed spoken sem…