Prediction of Valence and Arousal from Music Features

den Brinker A, van Dinther R, Skowronek J. Prediction of Valence and Arousal from Music Features. In: AES Convention 131. Audio Engineering Society; 2011. Paper 39. Available from: https://aes.org/publications/elibrary-page/?id=16595

@inproceedings{denBrinker2011_16595,
  author = {den Brinker, Albertus and van Dinther, Ralph and Skowronek, J.},
  title = {{Prediction of Valence and Arousal from Music Features}},
  booktitle = {AES Convention 131},
  note = {Paper 39},
  year = {2011},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16595}
}

TY  - CPAPER
TI  - Prediction of Valence and Arousal from Music Features
AU  - den Brinker, Albertus
AU  - van Dinther, Ralph
AU  - Skowronek, J.
T2  - AES Convention 131
M1  - Paper 39
PY  - 2011
DA  - 2011/10/06
UR  - https://aes.org/publications/elibrary-page/?id=16595
PB  - Audio Engineering Society
LA  - en
AB  - Mood is an important attribute of music, and knowledge on mood can be used as a basic ingredient in music recommender and retrieval systems. Moods are assumed to be dominantly determined by two dimensions: valence and arousal. An experiment was conducted to attain data for song-based ratings of valence and arousal. It is shown that subject-averaged valence and arousal can be predicted from music features by a linear model.
ER  -