Welcome :)

Welcome to my website. I’m Jee-weon Jung, a Senior Research Scientist at Apple, dedicated to advancing speech processing and machine learning. My expertise lies in audio anti-spoofing and speaker recognition, areas that are vital for the security and reliability of speech technologies, and many more. With a PhD from University of Seoul, research scientist experience at Naver Corporation, and postdoc experience at Carnegie Mellon University, I’ve had the privilege of working on cutting-edge research projects. My work has been honored with first-place awards in international challenges, and I’ve published over 90 papers in leading academic journals and conferences. I invite you to explore my CV to gain a deeper understanding of my contributions to the field.

Professional experience

• Senior Research Scientist at Apple
  • September 2024 - Current
• Postdoctoral research associate at Carnegie Mellon Univerisy
  • May 2023 - September 2024
• Research scientist at Naver Clova
  • December 2020 - April 2023

Education

• PhD, Computer Science and Engineering
  • University of Seoul
  • March 2017 - February 2021
• BS, Computer Science and Engineering
  • University of Seoul
  • March 2013 - February 2017
• BBA
  • University of Seoul
  • March 2013 - February 2017

Selected honors and awards

• Ranked 1st place at the DCASE 2024 Challenge task 6 (automated audio captioning, AAC)- 2024
• Ranked 1st place at the DCASE 2023 Challenge task 6-a (automated audio captioning, AAC)- 2023
• Ranked 3rd place at the Third DIHARD Speech Diarisation Challenge (track 1 core, speaker diarization, SD) - 2021

Selected Publications

Refer to my CV for full list of publications.

1. J. Jung, H. Heo, H. Tak, H. Shim, J. S. Chung, B. Lee, H. Yu, and N. Evans, “AASIST: Audio anti-spoofing using integrated spectro-temporal graph attention networks”, in Proc. ICASSP, 2022.
2. J. Jung, H. Heo, J. Kim, H. Shim, and H. Yu, “RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification”, in Proc. INTERSPEECH, 2019.
3. J. Jung, H. Tak, H. Shim, H. Heo, B. Lee, S. Chung, H. Yu, N. Evans, and T. Kinnunen, “SASV 2022: The First Spoofing-Aware Speaker Verification Challenge”, in Proc. INTERSPEECH, 2022.
4. J. Jung, H. Heo, H. Shim, and H. Yu, “Knowledge Distillation in Acoustic Scene Classification”, IEEE Access, 8, 166870-166879.
5. J. Jung, H. Heo, H. Yu, and J. S. Chung, “Graph Attention Networks for Speaker Verification”, in Proc. ICASSP, 2021.

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