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 one of the best conference experiences I've had so far.…
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, and enjoyed the music so much. Yutong Wen presented a…
Darius Defended
Darius Petermann successfully defended his dissertation on "Efficient Native Neural Sub-band Coding through Residual Feature Representation within Hyper-Autoencoded Reconstruction Propagation Networks."
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 coding works to the leading experts in audio coding was…
University of Hamburg
It was such a nice visit to Timo Gerkmann's signal processing group at the University of Hamburg. I had a great time speaking with the bright students and researchers there,…
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.
Anastasia Kuznetsova Defended
Anastasia Kuznetsova successfully defended her dissertation on "Data Efficiency and Model Complexity Reduction for Speech Processing Systems." Congratulations!
ICASSP 2025 in Hyderabad, India
ICASSP 2025 was fun! I organized the Generative Data Augmentation (GenDA) workshop along with my colleagues (Dinesh Manocha at U. of Maryland, Johan Hershey at Google, and Trausti Kristjansson at…
Jackie Lin at ICASSP 2025 (GenDA 2025 Workshop)
Jackie participated in the Generative Data Augmentation (GenDA) workshop as the task captain for the challenge, "Room Acoustics and Speaker Distance Estimation." She also chaired a few sessions.
Jaesung Bae at ICASSP 2025 (GenDA 2025 Workshop)
Jaesung participated in the Generative Data Augmentation (GenDA) workshop as the task captain for the challenge, "Zero-Shot TTS and personalized speech enhancement." He also chaired a few sessions.
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.
News
- Jaesung Passed QualJaesung Bae successfully passed the qualifying exam.
- Haici Yang DefendedHaici Yang defended her dissertation (“Latent Variable Learning for Generative Neural Audio Codecs”) successfully!
- End-to-End Model Compression for Personalized Neural Speech CodecsInseon Jang, Minje Kim, Wootaek Lim, and Seungkwon Beack, “End-to-End Model Compression for Personalized Neural Speech Codecs,” Under Review for…
- WASPAA 2025 in Lake TahoeMy group in Illinois, former students at IU, and collaborators have had a strong presence at WASPAA 2025, which was…
- ISMIR 2025 in Daejeon, KoreaISMIR 2025 in Daejeon, Korea was really fun. Learned a lot from the nice papers, how things are organized there,…
- How to Prepare for the Technical Presentation?: A Short Lecture at a ConferenceWhile people around me realize how fun attending a conference, especially after the COVID-19 pandemic, I also found that not…
- AD-FlowTSETsun-An Hsieh and Minje Kim, “Adaptive Deterministic Flow Matching for Target Speaker Extraction,” Under Review for Publication at ICASSP 2026…
- Language Model-Driven Losses for Neural Speech CodingJayeon Yi and Minje Kim, “From Hallucination to Articulation: Language Model-Driven Losses for Ultra Low-Bitrate Neural Speech Coding,” Under Review…
- Darius DefendedDarius Petermann successfully defended his dissertation on “Efficient Native Neural Sub-band Coding through Residual Feature Representation within Hyper-Autoencoded Reconstruction Propagation…
- TGIF: Talker Group-Informed Familiarization of Target Speaker ExtractionOverview In everyday life, our devices run many speech/audio applications that can benefit from the target speaker extraction (TSE) concept: the…
