09.10.2017

Materials for music research

AMP

Description

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

Link

http://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.

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 (direct download)

Cross-cultural Stimuli

Reference

Alluri, V. & Toiviainen, P. (2012). Effect of Enculturation on the Semantic and Acoustic Correlates of Polyphonic Timbre. Music Perception, 29(3), 297-310.

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


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

Soundtracks datasets for music and emotion

Description

Film soundtrack stimuli for music and emotion studies

Link

Soundtracks