MUSA2004 Music Information Research (5 op)

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

2nd or 3rd year of bachelor studies.

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