MUSA2004 Music Information Research (5 cr)
Description
Learning outcomes
After completing the course the student will:
· be able to program in computer languages relevant to Music Information Research (e.g. MATLAB)
· understand the processes involved in computational musical feature extraction (e.g. extract from a digital audio signal information related to pitch, timbre, rhythm, meter, tonality)
· understand and implement methods for music classification, segmentation
· understand methods of semantic computing, and/or is able to retrieve large data using music APIs
Additional information
Study materials
Eerola, T. & Toiviainen, P. (2004). MIDI Toolbox: MATLAB Tools for Music Research. University of Jyväskylä: Kopijyvä, Jyväskylä, Finland.
O. Lartillot, MIRtoolbox 1.7.2 User’s Manual,, University of Oslo, Norway RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion www.jyu.fi/music/coe/materials/mirtoolbox
Schedl M, Gómez E, Urbano J. Music information retrieval: recent developments and applications. Foundations and Trends in Information Retrieval. 2014 Sept 12; 8 (2-3): 127-261. DOI: 10.1561/1500000042 https://repositori.upf.edu/handle/10230/27565