Deep Neural Network Calibration for E2E Speech Recognition System. - Mun-Hak Lee; Joon-Hyuk Chang (Interspeech, 2021)

Knowledge Distillation from Language Model to Acoustic Model: A Hierarchical Multi-Task Learning Approach. - Mun-Hak Lee; Joon-Hyuk Chang (ICASSP, 2022)

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)

Cross-Modal Learning for CTC-Based ASR: Leveraging CTC-Bertscore and Sequence-Level Training. - Mun-Hak Lee; Sang-Eon Lee; Ji-Eun Choi; Joon-Hyuk Chang (ASRU, 2023)

Knowledge Distillation From Offline to Streaming Transducer: Towards Accurate and Fast Streaming Model by Matching Alignments. - Ji-Hwan Mo; Jae-Jin Jeon; Mun-Hak Lee; Joon-Hyuk Chang (ASRU, 2023)

Whisper Multilingual Downstream Task Tuning Using Task Vectors. - Ji-Hun Kang; Jae-Hong Lee; Mun-Hak Lee; Joon-Hyuk Chang (INTERSPEECH, 2024)

Balanced-Wav2Vec: Enhancing Stability and Robustness of Representation Learning Through Sample Reweighting Techniques. - Mun-Hak Lee; Jae-Hong Lee; Do-Hee Kim; Ye-Eun Ko; Joon-Hyuk Chang (INTERSPEECH, 2024)

Proper Error Estimation and Calibration for Attention-Based Encoder-Decoder Models. - Mun-Hak Lee; Joon-Hyuk Chang (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Bayesian Language Model Adaptation for Personalized Speech Recognition. - Mun-Hak Lee; Ji-Hwan Mo; Ji-Hun Kang; Jin-Young Son; Joon-Hyuk Chang (IEEE Signal Process. Lett., 2025)