Past uses of MIDI toolbox

MIDItoolbox has been used extensively in various projects spanning a wide range of disciplines and approaches. Currently it has been cited 190 studies in Google scholar. Here are some highlights of this diversity ranging from music cognition, music therapy, music information research, neuroscience of music, and ethnomusicology.

Music cognition

• Dalla Bella, S., & Peretz, I. (2005). Differentiation of classical music requires little learning but rhythm. Cognition, 96(2), B65-B78
• Eerola, T., & Bregman, M. (2007). Melodic and contextual similarity of folk song phrases. Musicae Scientiae, 11(1 suppl), 211-233.

Music therapy

• Luck, G., Riikkilä, K., Lartillot, O., Erkkilä, J., Toiviainen, P., Mäkelä, A., ... & Värri, J. (2006). Exploring relationships between level of mental retardation and features of music therapy improvisations: A computational approach. Nordic Journal of Music Therapy, 15(1), 30-48.

Music Information Research (MIR)

• Holzapfel, André, and Yannis Stylianou. "Scale transform in rhythmic similarity of music." Audio, Speech, and Language Processing, IEEE Transactions on 19.1 (2011): 176-185.
• Argenti, F., Nesi, P., & Pantaleo, G. (2011). Automatic transcription of polyphonic music based on the constant-q bispectral analysis. Audio, Speech, and Language Processing, IEEE Transactions on, 19(6), 1610-1630.

Neuroscience of music

• Mutschler, I., Wieckhorst, B., Speck, O., Schulze-Bonhage, A., Hennig, J., Seifritz, E., & Ball, T. (2010). Time scales of auditory habituation in the amygdala and cerebral cortex. Cerebral Cortex, bhq001

• Donnay, G. F., Rankin, S. K., Lopez-Gonzalez, M., Jiradejvong, P., & Limb, C. J. (2014). Neural substrates of interactive musical improvisation: an fMRI study of ‘trading fours’ in jazz. PLoS one, 9(2), e88665.

Ethnomusicology

• Bozkurt, B., Karaosmanoğlu, M. K., Karaçalı, B., & Ünal, E. (2014). Usul and makam driven automatic melodic segmentation for Turkish music. Journal of New Music Research, 43(4), 375-389.

Miditoolbox download stats between 2007 and 2016

Statistics since 2007 (toolbox online since 2004).

A total of 8873 downloads, average of 20 downloads per week, with 6766 unique downloaders. Windows seems to be the most popular OS for these:

OS	Percentage*
Windows	68.4%
Mac OS	25.4%
Linux	6.2%

The downloads come from all over the world.

Domain	Percentage*
edu	18
de	9.5
uk	7.6
fr	6.5
it	5.3
net	5.3
jp	4.1
tw	4.1
fi	3.3
ca	3.2
es	2.5
cn	2.3
pl	2.1
au	2
nl	2
dk	1.9
gr	1.8
org	1.5
in	1.5
be	1.4
ru	1.4
se	1.3
br	1.2
at	1.2
ch	1.1
kr	1
tr	0.8
cz	0.8
pt	0.8
ie	0.7
no	0.7
co	0.6
ar	0.5
il	0.5
sg	0.5
mx	0.5
sk	0.5
hk	0.4

After eliminating 3993 "com" addresses and 168 miscellaneous addresses.

TE 19-05-2016 12:26:38