Data Science Research Center Seminar | Elegant Auditory Intelligence | Shengchen Li
Abstract: It is hard to say an algorithm is elegant; however, an algorithm that understands music may be considered elegant. The seminar introduces the development and challenges of computer music technicals with a focus on machine listening, which attempts to understand the content of music including but not limited to music generation and synthesis, objective performance evaluation and music therapy. Towards perception and creation intelligence from computation intelligence, the speaker discusses the application of music perception and recognition and proposes the potential solution of existing challenges besides traditional music information retrieval tasks.
Bio: Shengchen Li obtained his Ph.D. degree in 2016 from Queen Mary University of London. He worked on computational musicology with a focus on music perception and recognition. After his graduation, he worked at Beijing University of Posts and Telecommunications as a lecturer and extended his research area to acoustic signal processing. Li is a steering committee member of Conference on Sound and Music Technology, and a technical committee member of Speech Dialogue and Auditory Processing, China Computer Federation. His fellow students have participated in the IEEE AASP Challenge on Detection and Classification on Acoustic Scenes and Events, and are among the top-ranked teams for various tasks.
The talk will be in English and is open to all members of DKU community.
Last registration by 5pm, April 15.
For questions, contact Ivy Xu at email@example.com