Ke Chen

Research Scientist

San Francisco

Ke Chen is a Research Scientist at Adobe Research. His research interests lies in audio processing, analysis, and music information retrieval. He works in the field of audio source separation, algorithmic music composition, and others. He received a PhD degree in computer science and a master degree in music at University of California San Diego (UCSD) advised by Prof. Shlomo Dubnov and Prof. Taylor Berg-Kirkpatrick.

Please visit his personal website to get more information.

Publications

FLAM: Frame-Wise Language-Audio Modeling

Wu, Yusong., Tsirigotis, Christos., Chen, Ke., Huang, Cheng-Zhi., Courville, Aaron., Nieto, Oriol., Seetharaman, Prem., Salamon, Justin. (May. 8, 2025)

International Conference on Machine Learning (ICML)

Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation

Chen, Ke., Su, Jiaqi., Berg-Kirkpatrick, Taylor., Dubnov, Shlomo., Jin, Zeyu. (Aug. 28, 2024)

Interspeech 2024

MDX-GAN: Enhancing Perceptual Quality in Multi-Class Source Separation Via Adversarial Training

Chen, Ke., Su, Jiaqi., Jin, Zeyu. (Apr. 14, 2024)

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

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