Ke Chen is a Research Scientist at Adobe Research. His research interests lies in audio representation learning, audio generative model, and music information retrieval. He works in the field of multimodal learning between audio and text, audio source separation, music generation, 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. And he received a Bachelor degree in computer science at Fudan University.
Please visit his personal website to get more information of his publications, code implementations, and music productions.