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Seungtae Kang
Seungtae Kang
Bachelor's degree in 2018, Master's in 2020, School of Electronics Engineering, KNU.
Research interest: speech signal processing (now working at voice conversion and speech recognition), audio source separation, natural language processing, deep learning theories.
Email : cdef3456@naver.com
Publications
Publications
(Conference/Eextended Abstract/Poster) Seungtae Kang, Gil-Jin Jang*. Loss Function Weighting Based on Source Dominance for Monaural Source Separation Using Recurrent Neural Networks. 14th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA). July 2018.
Dates and Location: July 2-6, 2018. University of Surrey, Guildford, UK.
Presented: Conference Day 3, Thursday, July 5, 13:40-15:00(Conference/Poster) Seungtae Kang, Gil-Jin Jang*, Minho Lee. Lighting Variability Correction for Pill Identification. In Proceedings of The Third International Conference On Consumer Electronics (ICCE) Asia, pages 368-371, June 2018.
Dates and Location: June 24 (Sun) - (Tue), 2018, Ramada Plaza Hotel, Jeju, Korea.
Presented: Monday, June 25, 2018, PS01 Poster Session(Conference/Abstract/Poster) 오동훈, 강승태, 이상원, 장길진. 순환 신경망 앙상블 모델을 사용한 EMR 데이터 예측. 2018 뇌와 인공지능 심포지엄. pp. 159.
Donghoon Oh, Seungtae Kang, Sangwon Lee, Gil-Jin Jang. Ensemble Model-Based Prediction Using Recurrent Neural Networks for Electronic Medical Record. pp. 159.
Dates: January 30-31, 2018. Presented: January 31, 2018.
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