1. Aljanaki, A., Yang, Y.H., Soleymani, M.: Developing a benchmark for emotional analysis of music. PloS One 12(3), e0173,392 (2017)
2. Andrew, G., Arora, R., Bilmes, J., Livescu, K.: Deep canonical correlation analysis. In: Proceedings of the 30th International Conference on Machine Learning (ICML 2013), pp. 1247–1255 (2013)
3. Chung, J., Gulcehre, C., Cho, K., Bengio, Y.: Empirical evaluation of gated recurrent neural networks on sequence modeling. In: Proceedings of NIPS 2014 Deep Learning and Representation Learning Workshop (2014)
4. Dufour, I., Tzanetakis, G.: Using circular models to improve music emotion recognition. IEEE Trans. Affect. Comput. (2018)
5. Ekman, P.E., Davidson, R.J.: The Nature of Emotion: Fundamental Questions. Oxford University Press (1994)