I will give an overview of my work in music informatics research (MIR) with some applications to singing research and tracking the evolution of music. I first will give a very high-level overview of my work, starting with my Dynamic Bayesian Network approach to chord recognition, a system for lyrics-to-audio alignment (SongPrompter), and some other shiny applications of Music Informatics (Songle.jp, Last.fm Driver's Seat). Secondly, I will talk about some scientific applications of music informatics, including the study of singing intonation and intonation drift as well as the evolution of music both in the lab and in the real charts.
Making sense and science out of musical data
M. Mauch, QMUL
Thu, 11/12/2014 - 16:30