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Work Experience

NCSOFT \ Speech AI Researcher, Full-time \ Seoul, South Korea \ 2019 ~ Present

Education

Korea Advanced Institute of Science and Technology (KAIST) \ Master's degree, Electrical and Electronics Engineering, Speech, Deep Learning \ 2017 ~ 2019
Yonsei University \ Bachelor's degree, Electrical and Electronics Engineering \ 2013 ~ 2017

Jae-Sung Bae, Tae-Jun Bak, Young-Sun Joo, and Hoon-Young Cho. "Hierarchical Context-Aware Transformers for Non-Autoregressive Text to Speech." in Proc. Interspeech. 2021. \ paper / demo / video
Jinhyeok Yang*, Jae-Sung Bae*, Taejun Bak, Youngik Kim, and Hoon-Young Cho. "GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis" in Proc. Interspeech. 2021. \ paper / demo
Taejun Bak, Jae-Sung Bae, Hanbin Bae, Young-Ik Kim, and Hoon-Young Cho. "FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis" in Proc. Interspeech. 2021. \ paper / demo
Hanbin Bae, Jae-Sung Bae, Young-Sun Joo, Young-Ik Kim, and Hoon-Young Cho. "A Neural Text-to-Speech Model Utilizing Broadcast Data Mixed with Background Music." in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2021. \ paper / demo
Jae-Sung Bae, Hanbin Bae, Young-Sun Joo, Junmo Lee, Gyeong-Hoon Lee, Hoon-Young Cho. "Speaking Speed Control of End-to-End Speech Synthesis using Sentence-Level Conditioning." in Proc. Interspeech. 2020. \ paper / demo / video
Jae-Sung Bae, and Dae-Shik Kim. "End-to-End Speech Command Recognition with Capsule Network." in Proc. Interspeech. 2018. \ paper

Interest
- Deep Learning
- Speech Synthesis & Generative Models
- Speech Recognition, and Speech Signal Processing
Skills
- Python
- Pytroch