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Yejin Jeon
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2020 – today
- 2024
- [c8]Yejin Jeon, Yunsu Kim, Gary Geunbae Lee:
Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations. AAAI 2024: 18336-18344 - [c7]Yejin Jeon, Yunsu Kim, Gary Geunbae Lee:
Leveraging the Interplay between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause Formation. LREC/COLING 2024: 10416-10421 - [c6]Yejin Jeon, Gary Geunbae Lee:
Multi-Level Attention Aggregation for Language-Agnostic Speaker Replication. EACL (2) 2024: 14-20 - [c5]Yejin Jeon, Young Jae Kim, Gary Geunbae Lee:
Leveraging Effective Language and Speaker Conditioning In Indic TTS for Limmits 2024 Challenge. ICASSP Workshops 2024: 67-68 - [c4]Jinmyeong An, Wonjun Lee, Yejin Jeon, Jungseul Ok, Yunsu Kim, Gary Geunbae Lee:
An Investigation into Explainable Audio Hate Speech Detection. SIGDIAL 2024: 533-543 - [i7]Yejin Jeon, Yunsu Kim, Gary Geunbae Lee:
Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations. CoRR abs/2401.02014 (2024) - [i6]Yejin Jeon, Gary Geunbae Lee:
Multi-Level Attention Aggregation for Language-Agnostic Speaker Replication. CoRR abs/2403.04111 (2024) - [i5]Yejin Jeon, Yunsu Kim, Gary Geunbae Lee:
Leveraging the Interplay Between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause Formation. CoRR abs/2404.02592 (2024) - [i4]Jinmyeong An, Wonjun Lee, Yejin Jeon, Jungseul Ok, Yunsu Kim, Gary Geunbae Lee:
An Investigation Into Explainable Audio Hate Speech Detection. CoRR abs/2408.06065 (2024) - [i3]Young Jae Kim, Yejin Jeon, Gary Geunbae Lee:
Audio-Based Linguistic Feature Extraction for Enhancing Multi-lingual and Low-Resource Text-to-Speech. CoRR abs/2409.18622 (2024) - 2023
- [c3]Jihyun Lee, Yejin Jeon, Wonjun Lee, Yunsu Kim, Gary Geunbae Lee:
Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking. ASRU 2023: 1-8 - [i2]Jihyun Lee, Yejin Jeon, Wonjun Lee, Yunsu Kim, Gary Geunbae Lee:
Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking. CoRR abs/2312.01842 (2023) - 2021
- [c2]Hoang Long Le, Yejin Jeon, Hong Gee Roh, Hyun Jeong Kim, Jin Tae Kwak:
3-D multitask deep neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion. Medical Imaging: Computer-Aided Diagnosis 2021 - 2020
- [c1]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:
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT. Bildverarbeitung für die Medizin 2020: 67-72
2010 – 2019
- 2019
- [i1]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:
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT. CoRR abs/1912.01362 (2019)
Coauthor Index
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last updated on 2024-10-18 20:30 CEST by the dblp team
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