Please cite: Ren, Iris Yuping, Oriol Nieto, Hendrik Vincent Koops, Anja Volk, Wouter Swierstra. Investigating Musical Pattern Ambiguity in a Human Annotated Dataset, Proceedings of the 15th International Conference on Music Perception and Cognition/10th triennial conference of the European Society for the Cognitive Sciences of Music, 2018.
HEMAN dataset analysis for ICMPC 2018
HEMAN is a dataset derived from an experiment where 12 participants were asked to annotate musical patterns in six pieces.
“Please, analyze the following musical excerpts and mark all the musical motives you can find.
A musical motive is defined as a short musical idea, a salient recurring figure, musical fragment, or succession of notes that has some special importance in or is characteristic of a composition.
It shouldn’t be longer than a musical phrase.
If you find a motive that is similar to another (or multiple versions of a motive), choose the one that you think is the most representative.
Even though all motives are relevant, please rate each one of them from 1 to 3: 1 = Not as relevant 2 = Relevant 3 = Highly relevant
You can listen to the music excerpts as many times as you like. You can find them here. http://urinieto.com/NYU/Research/MotivesExperiment/ ”
Bach – Cantata BWV 1, Movement 6, Horn
Bach – Cantata BWV 2, Movement 6, Soprano
Beethoven – String Quartet, Op. 18, No. 1, Violin I
Haydn – String Quartet, Op. 74, No. 1, Violin I
Mozart – String Quartet, K. 155, Violin I
Mozart – String Quartet, K. 458, Violin I
Three formats of the dataset are available.