Professional experience

• Postdoctoral research associate at Carnegie Mellon Univerisy
  • May 2023 - Present
• 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 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, 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.
2. 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.
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.

---

Designed by Ankit Sultana, adapted by Jee-weon Jung.