Mood and music

The mood and music project connects researchers from the fields of music information retrieval (MIR), human-computer interaction (HCI), psychology and cognitive science. Our aim is to investigate emotional and visual aspects of music cognition, and the effects that mood and emotions have on individual's preferences in music. Our practical goal is the construction of intelligent and intuitive music recommender system that services user's emotional, visual and musical preferences.

The Moodo Dataset

We collected a dataset of users' responses to music through emotions and colors, as well as their perception of emotions through colors. In our recent work, we published the dataset about 7000 responses from 741 users which is publicly available.

Download Moodo dataset
 

Visualization of the Moodo Dataset

To bring the data closer to everyday user, we created a visualization of the Moodo dataset with interactive and adjustable graphs. The visualization can be found here: Visualisation of the Moodo dataset.

References

• G. Strle, M. Pesek, and M. Marolt, "Towards user-aware music information retrieval : emotional and color perception of music," in Emotions and personality in personalized services : models, evaluation and applications, Springer, 2016, pp. 327-353.
  [Bibtex]

  @inbook{1537049539,
  author={Gregor Strle and Matevž Pesek and Matija Marolt},
  year={2016},
  pages={327-353},
  title={Towards user-aware music information retrieval : emotional and color perception of music},
  booktitle={Emotions and personality in personalized services : models, evaluation and applications},
  publisher={Springer},
  }

• M. Pesek, G. Strle, and M. Marolt, "Uporabniški vmesniki in metodologija pridobivanja večmodalnih podatkov o glasbi," Elektrotehniški vestnik, vol. 82, iss. 3, pp. 93-101, 2015.
  [Bibtex]

  @article{1536361667,
  author={Matevž Pesek and Gregor Strle and Matija Marolt},
  year={2015},
  pages={93-101},
  volume={82},
  title={Uporabniški vmesniki in metodologija pridobivanja večmodalnih podatkov o glasbi},
  journal={Elektrotehniški vestnik},
  number={3},
  }

• M. Pesek, P. Godec, M. Poredoš, G. Strle, J. Guna, E. S. Duh, M. Pogačnik, and M. Marolt, "Introducing a dataset of emotional and color responses to music," in Proceedings of the 15th Conference of the International Society for Music Information Retrieval, ISMIR 2014, October 27-31, 2014, Taipei, Taiwan, 2014, pp. 355-360.
  [Bibtex]

  @conference{1536034499,
  author={Matevž Pesek and Primož Godec and Mojca Poredoš and Gregor Strle and Jože Guna and Emilija Stojmenova Duh and Matevž Pogačnik and Matija Marolt},
  year={2014},
  pages={355-360},
  title={Introducing a dataset of emotional and color responses to music},
  booktitle={Proceedings of the 15th Conference of the International Society for Music Information Retrieval, ISMIR 2014, October 27-31, 2014, Taipei, Taiwan},
  }

Visualisation of the Moodo dataset