Regularizing Transformer-based Acoustic Models by Penalizing Attention Weights. - Mun-Hak Lee; Joon-Hyuk Chang; Sang-Eon Lee; Ju-Seok Seong; Chanhee Park; Haeyoung Kwon (INTERSPEECH, 2022)

Extending Self-Distilled Self-Supervised Learning For Semi-Supervised Speaker Verification. - Jeong-Hwan Choi; Jehyun Kyung; Ju-Seok Seong; Ye-Rin Jeoung; Joon-Hyuk Chang (ASRU, 2023)

A Multi-modal Teacher-student Framework for Improved Blood Pressure Estimation. - Jehyun Kyung; Jeong-Hwan Choi; Ju-Seok Seong; Ye-Rin Jeoung; Joon-Hyuk Chang (EMBC, 2023)

Noise-Aware Target Extension with Self-Distillation for Robust Speech Recognition. - Ju-Seok Seong; Jeong-Hwan Choi; Jehyun Kyung; Ye-Rin Jeoung; Joon-Hyuk Chang (ICASSP, 2023)

Self-Distillation into Self-Attention Heads for Improving Transformer-based End-to-End Neural Speaker Diarization. - Ye-Rin Jeoung; Jeong-Hwan Choi; Ju-Seok Seong; Jehyun Kyung; Joon-Hyuk Chang (INTERSPEECH, 2023)

Improving Joint Speech and Emotion Recognition Using Global Style Tokens. - Jehyun Kyung; Ju-Seok Seong; Jeong-Hwan Choi; Ye-Rin Jeoung; Joon-Hyuk Chang (INTERSPEECH, 2023)

Few-Shot Keyword-Incremental Learning with Total Calibration. - Ilseok Kim; Ju-Seok Seong; Joon-Hyuk Chang (INTERSPEECH, 2024)

Trainable Adaptive Score Normalization for Automatic Speaker Verification. - Jeong-Hwan Choi; Ju-Seok Seong; Ye-Rin Jeoung; Joon-Hyuk Chang (ICASSP, 2025)

Few-shot Keyword-incremental Learning Using Compositional Information. - Ilseok Kim; Ju-Seok Seong; Joon-Hyuk Chang (ICASSP, 2025)