Introduction

My research revolves around making audio and speech AI more practical and useful. I aim to introduce concepts such as efficiency, personalization, scalability, and collaboration into the AI systems I develop. With those goals in mind and by combining signal processing, generative modeling, and machine learning, I develop adaptive systems for learning efficient data representations (e.g., neural audio coding), intelligent signal processing (e.g., speech enhancement and source separation), and generative modeling of audio.

  • Jaesung Passed Qual
    Jaesung Bae successfully passed the qualifying exam.
  • Haici Yang Defended
    Haici Yang defended her dissertation (“Latent Variable Learning for Generative Neural Audio Codecs”) successfully!
  • WASPAA 2025 in Lake Tahoe
    My group in Illinois, former students at IU, and collaborators have had a strong presence at WASPAA 2025, which was…
  • ISMIR 2025 in Daejeon, Korea
    ISMIR 2025 in Daejeon, Korea was really fun. Learned a lot from the nice papers, how things are organized there,…
  • Darius Defended
    Darius Petermann successfully defended his dissertation on “Efficient Native Neural Sub-band Coding through Residual Feature Representation within Hyper-Autoencoded Reconstruction Propagation…
  • Fraunhofer IIS and AudioLabs in Erlangen
    The visit to Fraunhofer IIS and International Audio Labs in Erlangen was so inspiring and heartwarming. Introducing my neural audio…
  • University of Hamburg
    It was such a nice visit to Timo Gerkmann’s signal processing group at the University of Hamburg. I had a…
  • WASPAA 2025
    Four papers were accepted for publication at WASPAA 2025:
  • Ajou Honorary Alumni
    I was recognized as “Ajou Honorary Alumni” by my alma mater, Ajou University, along with my then-girlfriend-now-wife Kahyun Choi.
  • Aalborg University
    I will be spending June and July at Aalborg University, visiting the Audio Analysis Lab and the AI and Sound…

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