FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Models. - Yeonghyeon Lee; Kangwook Jang; Jahyun Goo; Youngmoon Jung; Hoi Rin Kim (INTERSPEECH, 2022)

FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Learning. - Yeonghyeon Lee; Kangwook Jang; Jahyun Goo; Youngmoon Jung; Hoirin Kim (CoRR, 2022)

Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation. - Kangwook Jang; Sungnyun Kim; Se-Young Yun; Hoirin Kim (INTERSPEECH, 2023)

STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models. - Kangwook Jang; Sungnyun Kim; Hoirin Kim (ICASSP, 2024)

One-class learning with adaptive centroid shift for audio deepfake detection. - Hyun Myung Kim; Kangwook Jang; Hoirin Kim (INTERSPEECH, 2024)

Learning Video Temporal Dynamics With Cross-Modal Attention For Robust Audio-Visual Speech Recognition. - Sungnyun Kim; Kangwook Jang; Sangmin Bae; Hoirin Kim; Se-Young Yun (SLT, 2024)

Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis. - Minu Kim; Kangwook Jang; Hoirin Kim (ICASSP, 2025)

Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation. - Sungnyun Kim; Sungwoo Cho; Sangmin Bae; Kangwook Jang; Se-Young Yun (ICLR, 2025)

MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition. - Sungnyun Kim; Kangwook Jang; Sangmin Bae; Sungwoo Cho; Se-Young Yun (CoRR, 2025)