Materials for (computational) music research
MIDI Toolbox
Description
The MIDI Toolbox is a compilation of functions for analyzing and visualizing MIDI files in the Matlab computing environment (free under GNU General Public License).
Link
Reference
Eerola, T. & Toiviainen, P. (2004). MIDI Toolbox: MATLAB Tools for Music Research. Ä¢¹½Ö±²¥: Kopijyvä, Jyväskylä, Finland.
MIR Toolbox
Description
MIRtoolbox offers an integrated set of functions written in Matlab, dedicated to the extraction from audio files of musical features such as tonality, rhythm, structures, etc. The objective is to offer an overview of computational approaches in the area of Music Information Retrieval. The design is based on a modular framework
Link
Reference
Lartillot, O. & Toiviainen, P. (2007). MIR in Matlab (II): A Toolbox for Musical Feature Extraction From Audio. , Vienna, 2007.
MoCap Toolbox
Description
The MoCap Toolbox is a Matlab toolbox that contains functions for the analysis and visualization of motion capture data.
Link
Reference
Burger, B. & Toiviainen, P. (2013). MoCap Toolbox – A Matlab toolbox for computational analysis of movement data. In R. Bresin (Ed.), Proceedings of the 10th Sound and Music Computing Conference. Stockholm, Sweden: KTH Royal Institute of Technology.
Digital Archive of Finnish Folk Tunes
Description
Sample of 8613 Finnish folk songs in symbolic format, available in browsable format or as a Matlab data matrix with annotated meta data.
LinksÌý(zip, direct download)
Digital Archive of Finnish Folk Tunes
Collection download for research purposesÌý(²Ñ²¹³Ù±ô²¹²ú)
Reference
Eerola, T. & Toiviainen, P. (2004). Suomen Kansan eSävelmät. Suomalaisten kansansävelmien elektroninen tietovaranto [Digital Archive of Finnish Folk Tunes]. Ä¢¹½Ö±²¥. URL:
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