Yejin Jeon

According to our database, Yejin Jeon authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

An Investigation into Explainable Audio Hate Speech Detection.

Jinmyeong An, Wonjun Lee, Yejin Jeon, Jungseul Ok, Yunsu Kim, Gary Geunbae Lee

Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024

Leveraging Effective Language and Speaker Conditioning In Indic TTS for Limmits 2024 Challenge.

Yejin Jeon, Youngjae Kim, Gary Geunbae Lee

Proceedings of the IEEE International Conference on Acoustics, 2024

Audio-Based Linguistic Feature Extraction for Enhancing Multi-lingual and Low-Resource Text-to-Speech.

Youngjae Kim, Yejin Jeon, Gary Geunbae Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Multi-Level Attention Aggregation for Language-Agnostic Speaker Replication.

Yejin Jeon, Gary Geunbae Lee

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Leveraging the Interplay between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause Formation.

Yejin Jeon, Yunsu Kim, Gary Geunbae Lee

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations.

Yejin Jeon, Yunsu Kim, Gary Geunbae Lee

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking.

Jihyun Lee, Yejin Jeon, Wonjun Lee, Yunsu Kim, Gary Geunbae Lee

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2021

3-D multitask deep neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion.

Hoang Long Le, Yejin Jeon, Hong Gee Roh, Hyun Jeong Kim, Jin Tae Kwak

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020

Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT.

Jennifer Maier, Luis Carlos Rivera Monroy, Christopher Syben, Yejin Jeon, Jang-Hwan Choi, Mary Elizabeth Hall, Marc E. Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020