Artificial Music Intelligence: Expressive and Interactive Music Performance via Machine Learning

Friday, March 25, 2016 – 11:00am EDT Location:2 Metrotech Center, 10th Floor, 10.099 NYU Shanghai presents NYU Data Science Professor Faculty Candidate Gux Xia, PhD Candidate, Machine Learning,  Machine Learning Department, Carnegie Mellon University As both a computer scientist and a musician, I design intelligent systems that understand and extend human musical expression. To “understand” means to model the musical expression conveyed through acoustic, gestural, and emotional signals. To “extend” means to use this understanding to create expressive, interactive, and autonomous agents, serving both amateur and professional musicians. In particular, I create interactive performers that are able to perform expressively in concert with humans by learning musicianship from rehearsal experience. This study unifies machine learning and knowledge representation of music structure and performance skills in an HCI framework. In this talk,…


Link to Full Article: Artificial Music Intelligence: Expressive and Interactive Music Performance via Machine Learning