Date: 24 September
Time: 12.45-14.00
Place: RDB14 3.429
The Music Informatics and Cognition Research Group (MusIC) designs, implements and evaluates algorithms for automatically carrying out tasks that, if performed by humans, would be considered to require musical expertise. The group shares the common goal of understanding on the computational and algorithmic levels the cognitive processes that operate when musical experts compose, analyse, improvise and perform music. Although unified by this common goal, the group’s members adopt quite different but complementary approaches to achieving it. In this presentation, Gissel Velarde will introduce her work on using wavelet-based methods to segment, classify and discover patterns in melodies. Olivier Lartillot will present a new simplified model of motivic analysis based on multiparametric closed pattern and cyclic sequence mining. Brian Bemman will report on his attempts to develop an algorithmic model of Milton Babbitt’s compositional procedures. David Meredith will present his most recent work on geometric pattern discovery in music, focusing on methods for automatically discovering maximal scalable patterns.
For more information: http://www.create.aau.dk/music