June-Woo Kim

According to our database, June-Woo Kim authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Adaptive Metadata-Guided Supervised Contrastive Learning for Domain Adaptation on Respiratory Sound Classification.

June-Woo Kim, Miika Toikkanen, Amin Jalali, Minseok Kim, Hye-Ji Han, Hyunwoo Kim, Wonwoo Shin, Ho-Young Jung, Kyunghoon Kim

IEEE J. Biomed. Health Informatics, August, 2025

Improving Respiratory Sound Classification with Architecture-Agnostic Knowledge Distillation from Ensembles.

Miika Toikkanen, June-Woo Kim

CoRR, May, 2025

Language-Agnostic Suicidal Risk Detection Using Large Language Models.

June-Woo Kim, Wonkyo Oh, Haram Yoon, Sung-Hoon Yoon, Dae-Jin Kim, Dong-Ho Lee, Sang-Yeol Lee, Chan-Mo Yang

CoRR, May, 2025

Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis.

June-Woo Kim, Sanghoon Lee, Miika Toikkanen, Daehwan Hwang, Kyunghoon Kim

CoRR, May, 2025

Domain Adversarial Training for Mitigating Gender Bias in Speech-based Mental Health Detection.

June-Woo Kim, Haram Yoon, Wonkyo Oh, Dawoon Jung, Sung-Hoon Yoon, Dae-Jin Kim, Dong-Ho Lee, Sang-Yeol Lee, Chan-Mo Yang

CoRR, May, 2025

Noise-Agnostic Multitask Whisper Training for Reducing False Alarm Errors in Call-for-Help Detection.

Myeonghoon Ryu, June-Woo Kim, Minseok Oh, Suji Lee, Han Park

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification.

June-Woo Kim, Miika Toikkanen, Yera Choi, Seoung-Eun Moon, Ho-Young Jung

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Stethoscope-Guided Supervised Contrastive Learning for Cross-Domain Adaptation on Respiratory Sound Classification.

June-Woo Kim, Sangmin Bae, Won-Yang Cho, Byungjo Lee, Ho-Young Jung

Proceedings of the IEEE International Conference on Acoustics, 2024

RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification.

June-Woo Kim, Miika Toikkanen, Sangmin Bae, Minseok Kim, Ho-Young Jung

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance.

June-Woo Kim, Chihyeon Yoon, Miika Toikkanen, Sangmin Bae, Ho-Young Jung

CoRR, 2023

Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification.

Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System.

June-Woo Kim, Hyekyung Yoon, Ho-Young Jung

Sensors, 2022

2021

Linguistic-Coupled Age-to-Age Voice Translation to Improve Speech Recognition Performance in Real Environments.

June-Woo Kim, Hyekyung Yoon, Ho-Young Jung

IEEE Access, 2021

2020

Vocoder-free End-to-End Voice Conversion with Transformer Network.

June-Woo Kim, Ho-Young Jung, Minho Lee

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

End-to-end Multimodal Emotion and Gender Recognition with Dynamic Weights of Joint Loss.

Myungsu Chae, Tae-Ho Kim, Young Hoon Shin, June-Woo Kim, Soo-Young Lee

CoRR, 2018