‪Jang Kangwook‬ - ‪Google Scholar‬

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2022202320243 31 14

Co-authors

Hoirin KimProfessor of Electrical Engineering, KAISTVerified email at kaist.ac.kr
Youngmoon JungSamsung ResearchVerified email at samsung.com
Jahyun GooPh.D student, Sch. of EE, KAISTVerified email at kaist.ac.kr
Yeonghyeon LeeSchool of Electrical Engineering, KAISTVerified email at kaist.ac.kr
Sungnyun KimKAIST AIVerified email at kaist.ac.kr
Se Young YunKAISTVerified email at kaist.ac.kr

Jang Kangwook

Jang Kangwook

KAIST Ph.D

Verified email at kaist.ac.kr - Homepage

efficient Transformers knowledge distailltion self-supervised learning automatic speech recognition speech processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Learning Y Lee, K Jang, J Goo, Y Jung, H Kim Interspeech 2022, 3588-3592, 2022	42	2022
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation K Jang, S Kim, SY Yun, H Kim Interspeech 2023, 316-320, 2023	5	2023
STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models K Jang, S Kim, H Kim ICASSP 2024, 2024	1	2024

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Articles 1–3