Woosung Choi

Currently

A Ph.D. Candidate @ Department of Computer Science, Korea University

Research interests

• Machine Learning for Speech & Audio;
  • (e.g., Singing Voice Separation or Conditioned Source Separation)

Education

2009-2013 BSc Computer Science Education (3.99/4.5)

Korea University, Seoul, Korea

2013-2021.08. Ph.D. Computer Science (4.47/4.5)

Dissertation: Deep Learning-based Latent Source Analysis for Source-aware Audio Manipulation

Advisor: Prof. Soonyoung Jung

Korea University, Seoul, Korea

Publications

selected

Choi, Woosung, Kim, Minseok., Martinez Ramirez, Marco A., Chung, Jaehwa., and Jung, Soonyoung. “AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries.” arXiv preprint arXiv:2104.13553 (2021). (github, demo) (preprint)

Choi, Woosung., Kim, Minseok., Chung, Jaehwa., and Jung, Soonyoung. “LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation.” ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. ( github, demo, colab)

Choi, Woosung., Kim, Minseok., Chung, Jaehwa., Lee, Daewon., and Jung, Soonyoung. “Investigating u-nets with various intermediate blocks for spectrogram-based singing voice separation.” 21th International Society for Music Information Retrieval Conference, ISMIR, 2020. ( github, colab)

Choi, Woosung., Jung, Soonyoung/, Chung, Jaehwa., Hyun, Kyeong-Seok., and Park, Kinam. “Scalable Algorithms for Maximizing Spatiotemporal Range Sum and Range Sum Change in Spatiotemporal Datasets.” Electronics 9.3 2020: 514. (indexed by SCIe)

full link

Patents

2020 Jung, Soonyoung, Kim, Minseok., and Choi, Woosung. “METHOD AND DEVICE FOR EDUCATING AND COMPARING CLUSTERING ALGORITHMS, RECORDING MEDIUM FOR PERFORMING THE METHOD. KR Patent, 10-2020-0054364

Grants and Awards

2019

• Best Lecture Award (Korea University)
  • Spring, 2019, COSE371: Database (cose371.github.io)

2016

• Qualcomm Innovation Scholarship Award (Qualcomm and Korea University):
  • Locality-Sensitive Neighborhood Component Analysis for Preserving Class Neighborhood Structure
• Best Paper (Korea Information Processing Society Conference):
  • Choi, Woosung., Min, J. H., Chung, Jaehwa., and Jung, Soonyoung. “A Sampling-based Pruning Approach for Efficient Angular Space Partitioning based Skyline Query Processing.” Proceedings of the Korea Information Processing Society Conference. Korea Information Processing Society, 2016.

2014

• Scholarship supported by Korea University

2009~2013

• National Science & Technology Scholarship (Fully-funded), Supported by the Korea Student Aid Foundation (KOSAF) grant funded by the Korean government

Experience

2019~

• Part-time Lecturer (Korea National Open University, Korea)
  • Database Design and Implementation
  • Internet and Information Society
  • Database

2019~2019

• Part-time Lecturer (Korea University, Seoul, Korea)
  • Database(COSE371) (cose371.github.io) , Undergraduate school

2019~

• Teaching Assistant (Korea National Open University, Korea)
  • Deep Learning, Graduate School
  • Python, Under-graduate School (PRIME COLLEGE), Korea

2016~2019

• Military service exempted technical research personnel (Korea University, Seoul, Korea)

2013~2015

• Teaching Assistant (Korea University, Seoul, Korea)
  • Database System, Undergraduate school

Projects

2019~2021 Deep Attention Network-based Acoustic Source Separation (National Research Foundation of Korea, Principal Investigator: Woosung Choi, Korea University)

2020~2021 Research on Neural Network-based Spectrogram Transformation Block Applicable to Various Acoustic Signal Processing (National Research Foundation of Korea, Principal Investigator: Prof. Soonyoung Jung, Korea University)

2019~2020 A study on acoustic signal processing based on deep learning for an adaptive ANC platform (National Research Foundation of Korea, Prof. Daewon Lee, Seokyeong University)

2016~2018 Multidimensional Semantics-based Predictive Mobility Aggregation Analysis (National Research Foundation of Korea, Principal Investigator: Prof. Soonyoung Jung, Korea University)

2015~ 2020 The development of chemical accident behavior analysis/damage prediction models and environmental risk map technology (Korea Environmental Industry and Technology Institute, Principal investigator: Prof. Jong-Ryeul Sohn, Korea University)