Predicting Perceived Music Emotions with Respect to Instrument Combinations
Published in AAAI, 2023
We compare the accuracy difference between music emotion recognition models given music pieces as a whole versus music pieces separated by instruments. We provide empirical evidence that training Random Forest and Convolution Recurrent Neural Network with mixed instrumental music data conveys a better understanding of emotion than training the same models with music that are separated into each instrumental source
Recommended citation: Nguyen, V. D., Nguyen, Q. H., & Freedman, R. G. (2023). Predicting Perceived Music Emotions with Respect to Instrument Combinations. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16078-16086. https://doi.org/10.1609/aaai.v37i13.26910 http://rxng8.github.io/files/aaai-23.pdf