Department of Music

Materials for music research

 

These are materials related to research projects.

Contents

 


AMP

Description

AMP is a tool that transforms lists of liked and disliked artists into a standard psychometric test to assess music preferences.

 

Link

amp.cc.jyu.fi


Reference

Ferrer, R. & Eerola, T., & Vuoskoski, J. (2012) Enhancing Genre-based Measures of Music Preference by User-defined Liking and Social Tags. Psychology of Music.

 

 

 

 

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 runs only on Macintosh computers with an Intel processor and operating system 10.4. or higher.

 

Link

AudioKeySOM

 

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.



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

Miditoolbox

 

Reference

Eerola, T. & Toiviainen, P. (2004). MIDI Toolbox: MATLAB Tools for Music Research. University of Jyväskylä: 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

MIRtoolbox

 

Reference

Lartillot, O. & Toiviainen, P. (2007). MIR in Matlab (II): A Toolbox for Musical Feature Extraction From Audio. International Conference on Music Information Retrieval, 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

MoCap Toolbox

 

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.


WiiDataCapture

Description

WiiDataCapture is a software that displays and saves acceleration data of up to 8 Wiimotes.

 

Link

WiiDataCapture


Sequence Maker

Description

Sequence Maker is a toolbox for creating stimulus sequence files for programs Presentation, BrainStim and Stim. Various paradigms can be used, including Oddball, Optimum, and Roving-standard. Sequence Maker can be used as a stand-alone program or with Matlab.

 

Link

Sequence Maker


 


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.

 

Link

Digital Archive of Finnish Folk Tunes
Collection download for research purposes

 

Reference

Eerola, T. & Toiviainen, P. (2004). Suomen Kansan eSävelmät. Suomalaisten kansansävelmien elektroninen tietovaranto [Digital Archive of Finnish Folk Tunes]. University of Jyväskylä. URL: esavelmat.jyu.fi


McGill University Master Samples (MUMS) Revised

Description

This downloadable package contains an installer of the 6546 samples available in MUMS 3-DVD set released in 2006, which remaps the collection in a comprehensible way and rename the files homogeneously for further automatic retrieval.

Link

MUMS

Reference

Eerola, T. & Ferrer, R. (2008). Instrument Library (MUMS) Revised. Music Perception, 25(3), 253–255.


Digital Archive of Cross-cultural Stimuli

Description

Contains 2 sets of 100 short excerpts of Indian and Western music used as stimuli for Matlab data matrix with annotated meta data.

Link

Cross-cultural Stimuli

Reference

Alluri, V & Toiviainen, P. (2010, Submitted). Cross-cultural Regularities in Polyphonic Timbre Perception. University of Jyväskylä.

 

 

Looking Beyond Genres: Semantic Layers Database

Description

A database containing 12,386 tags that have been attributed with scores according to 10 categories.

Link

ByondG

Reference

Ferrer, R. & Eerola, T. (2011) Looking Beyond Genres: Identifying Meaningful Semantic Layers from Tags in Online Music Collections. In Proceedings of the Tenth International Conference on Machine Learning and Applications (ICMLA), vol. 2, pp.112-117 Honolulu, Hawaii.


Multi-track studio recordings of live performances in Swing, Blues and Funk styles

Description

72 minutes of multi-track audio consisting of isolated audio tracks for bass guitar, guitar, and several drum sets, while recording 3 groups, each performing on three styles.

Link

MultiTrack

Reference

Abeßer, J., Lartillot, O., Dittmar, C., Eerola, T., Schuller, G.: Modeling Musical Attributes to Characterize Ensemble Recordings using Rhythmic Audio Features. In: Proceedings of the IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, Praha, Czech Republic



 


Animation of pulse finding by humans and computer

Description

These videoclips display pulse finding by human listeners and a computational model based on resonating oscillators.

Links

Excerpt from the ragtime American beauty
Human listeners (QuickTime, 3.3 MB)
Computational model (QuickTime, 4.5 MB)
Same excerpt, right hand part only
Human listeners (QuickTime, 1.7 MB)
Computational model (QuickTime, 5.0 MB)

Reference

Toiviainen, P. & Snyder, J. S. (2003). Tapping to Bach: Resonance-based modeling of pulse. Music Perception, 21(1), 43-80.

 

Animation of tonality perception

Description

This video clip displays how key strengths, as visualized on a self-organizing map, change over time as a Bach organ duet (BWV805) is played. The perceptual judgments of listeners (top) are compared with a computer model of key-finding (bottom).

Link

Animation of tonality perception

Reference

Toiviainen, P. & Krumhansl, C. L. (2003). Measuring and modeling real-time responses to music: the dynamics of tonality induction. Perception,32(6), 741-766.

 

Intelligent Jazz Accompanist

Description

Intelligent Jazz Accompanist is a computer program which listens to a jazz improvisation played by a human performer, recognizes the tune on which the improvisation is based, and joins in with the accompaniment.

Link

Intelligent Jazz Accompanist

Reference

Toiviainen, P. 2001. Real-time recognition of improvisations with adaptive oscillators and a recursive Bayesian classifier. Journal of New Music Research, 30(2), 137-148.

 

 

 

 

 

 

Music Annotation Visualization

Description

600 popular music tracks by as many unique artists are presented on 2D arousal-valence axes, based on the average user ratings (N=~29) of these concepts. The bubble size reflects the average liking of the songs. Hover over the bubbles to explore track details, and click to play the track in Spotify, given that you have installed the application.

Link

http://musiclab.cc.jyu.fi/visualization

 

Self-Organizing Map of the Essen Folk Song Collection

Description

Displays a visualization of folk songs using simple feature vectors and self-organizing map.

Link

Essen SOM

Reference

Toiviainen, P. & Eerola, T. (2001). A method for comparative analysis of folk music based on musical feature extraction and neural networks.Proceedings of the VII International Symposium on Systematic and Comparative Musicology and III International Conference on Cognitive Musicology, 2001, University of Jyväskylä, Finland.

 

World Optophone Orchestra

Link

World Optophone Orchestra