Personal profile
In Korean
장길진 교수(IT대학 전자공학부)
Education
o (1997) B.S., Korea Advanced Institute of Science and Technology
o (1999) M.S., Korea Advanced Institute of Science and Technology
o (2004) Ph.D., Korea Advanced Institute of Science and Technology
o (1999) M.S., Korea Advanced Institute of Science and Technology
o (2004) Ph.D., Korea Advanced Institute of Science and Technology
Professional Experience
o (2014~Present) Professor, Kyungpook National University, Daegu, Korea
o (2009~2014) Assistant Professor, Ulsan National Institute of Science and Technology, Ulsan, Korea
o (2006~2009) Postdoctoral Researcher, University of California, San Diego, USA
o (2004~2006) Research Staff, Samsung Advanced Institute of Technology, Giheung, Korea
o (2009~2014) Assistant Professor, Ulsan National Institute of Science and Technology, Ulsan, Korea
o (2006~2009) Postdoctoral Researcher, University of California, San Diego, USA
o (2004~2006) Research Staff, Samsung Advanced Institute of Technology, Giheung, Korea
Research Interests
Speech signal processing, audio signal processing, speech recognition, blind source separation, machine learning, medical signal processing, medical disease diagnosis
Major Research Achievements
o Weakly Supervised U-Net with Limited Upsampling for Sound Event Detection
o Individualized diagnosis of preclinical Alzheimer’s Disease using deep neural networks
o Encoder-Weighted W-Net for Unsupervised Segmentation of Cervix Region in Colposcopy Images
o Hierarchical Phoneme Classification for Improved Speech Recognition
o Speech and music pitch trajectory classification using recurrent neural networks for monaural speech segregation
o Speaker Adaptation Using i-Vector Based Clustering
o Improving Singing Voice Separation Using Curriculum Learning on Recurrent Neural Networks
o Single channel blind source separation based on probabilistic matrix factorization
o Individualized diagnosis of preclinical Alzheimer’s Disease using deep neural networks
o Encoder-Weighted W-Net for Unsupervised Segmentation of Cervix Region in Colposcopy Images
o Hierarchical Phoneme Classification for Improved Speech Recognition
o Speech and music pitch trajectory classification using recurrent neural networks for monaural speech segregation
o Speaker Adaptation Using i-Vector Based Clustering
o Improving Singing Voice Separation Using Curriculum Learning on Recurrent Neural Networks
o Single channel blind source separation based on probabilistic matrix factorization
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Collaborations and top research areas from the last five years
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Deflationary Extraction Transformer for Speech Separation with Unknown Number of Talkers
Lee, S., Kim, H. G. & Jang, G. J., Aug 2025, In: Sensors. 25, 16, 4905.Research output: Contribution to journal › Article › peer-review
Open Access -
Speaker-Attributed Training for Multi-Speaker Speech Recognition Using Multi-Stage Encoders and Attention-Weighted Speaker Embedding
Kim, M. & Jang, G. J., Sep 2024, In: Applied Sciences (Switzerland). 14, 18, 8138.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
ChatGPT와 다국어 BERT를 이용한 코로나-19 감염병 다국어 기사 자동 색인 및 분류
Jang, G.-J., 2023, In: 전자공학회논문지. 60, p. 20Research output: Contribution to journal › Article › peer-review
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Weakly Supervised U-Net with Limited Upsampling for Sound Event Detection
Lee, S., Kim, H. & Jang, G. J., Jun 2023, In: Applied Sciences (Switzerland). 13, 11, 6822.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
색인어 자동 추출을 이용한 코로나19 감염자 증가 검출
Jang, G.-J., 2023, In: 전자공학회논문지. 60, p. 39Research output: Contribution to journal › Article › peer-review