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Francis M. Tyers

2 accepted papers

2022

Curriculum Optimization for Low-Resource Speech Recognition

ICASSP 2022accepted

Modern end-to-end speech recognition models show astonishing results in transcribing audio signals into written text. However, conventional data feeding pipelines may be sub-optimal for low-resource speech recognition, which still remains a challenging task. We propose an automated curriculum learni…

Cited by 4SourceScholar
2022

Yet Another Format of Universal Dependencies for Korean

COLING 2022main

In this study, we propose a morpheme-based scheme for Korean dependency parsing and adopt the proposed scheme to Universal Dependencies. We present the linguistic rationale that illustrates the motivation and the necessity of adopting the morpheme-based format, and develop scripts that convert betwe…