Infrastructure, labs and materials
MMBB - Musical Battery
Description
The MMBB-MB is a browser-based app for collecting data on music perception and musical skills. Feel free to take part and test your skills! It requires a smartphone to run, and can be accessed at or with the QR code below.
If you are a researcher and wish to use the MMBB-MB in your own studies, please get in touch with Pedro Neto.
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.
AudioKeySOM
Description
AudioKeySOM is a software for real-time visualization of tonal content from audio. It can take various kinds of audio input, such as microphone, line-in, or an audio file. Currently, this software only runs on Macintosh computers and has been tested on Macs with an Intel processor and operating system 10.12.
Link (zip, direct download - 136mb)
Reference
Toiviainen, P. (2008). Visualization of tonal content in the symbolic and audio domains. In W. B. Hewlett and E. Selfridge-Field (Eds.), Tonal Theory for the Digital Age (Computing in Musicology 15). Cambridge, MA: MIT Press.
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.
Links (zip, direct download)
Digital Archive of Finnish Folk Tunes
Collection download for research purposes (Matlab)
Reference
Eerola, T. & Toiviainen, P. (2004). Suomen Kansan eSävelmät. Suomalaisten kansansävelmien elektroninen tietovaranto [Digital Archive of Finnish Folk Tunes]. Ä¢¹½Ö±²¥. URL: