Music Emotion Recognition has attracted a lot of academic research work in recent years because it has a wide range of applications, including song recommendation and music visualization. As music is a way for humans to express emotion, there is a need for a machine to automatically infer the perceived emotion of pieces of music. In this paper, we compare the accuracy difference between music emotion recognition models given music pieces as a whole versus music pieces separated by instruments. To compare the models’ emotion predictions, which are distributions over valence and arousal values, we provide a metric that compares two distribution curves. Using this metric, 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.
@article{Nguyen_Nguyen_Freedman_2024,title={Predicting Perceived Music Emotions with Respect to Instrument Combinations},volume={37},url={https://ojs.aaai.org/index.php/AAAI/article/view/26910},doi={10.1609/aaai.v37i13.26910},number={13},journal={Proceedings of the AAAI Conference on Artificial Intelligence},author={Nguyen, Viet Dung and Nguyen, Quan H. and Freedman, Richard G.},year={2024},month=jul,pages={16078-16086},}
ACG
Optimal Play of the Great Rolled Ones Game
Todd W. Neller, Quan H. Nguyen, Phong T. Pham, and 2 more authors
In Advances in Computer Games: 18th International Conference, ACG 2023, Virtual Event, November 28-30, 2023, Revised Selected Papers, 2024
In this paper, we solve and visualize optimal play for the Great Rolled Ones jeopardy dice game by Mitschke and Scheunemann [4, p. 4-5]. We share the second player advantage and compute that the first player should start with 3 compensation points (komi) for greatest fairness. We present a spectrum of human-playable strategies that trade off greater play complexity for better performance, and collectively clarify key considerations for excellent play.
@inproceedings{10.1007/978-3-031-54968-7_5,author={Neller, Todd W. and Nguyen, Quan H. and Pham, Phong T. and Phan, Linh T. and Presser, Clifton G. M.},editor={Hartisch, Michael and Hsueh, Chu-Hsuan and Schaeffer, Jonathan},title={Optimal Play of the Great Rolled Ones Game},year={2024},isbn={978-3-031-54967-0},publisher={Springer Nature Switzerland},address={Cham},url={https://doi.org/10.1007/978-3-031-54968-7_5},doi={10.1007/978-3-031-54968-7_5},booktitle={Advances in Computer Games: 18th International Conference, ACG 2023, Virtual Event, November 28-30, 2023, Revised Selected Papers},pages={50-59},}
