This work is licensed under the Creative Commons Attribution 4.0 International License.
Pelchat, N., & Gelowitz, C. M. (2020). Neural network music genre classification. Canadian Journal of Electrical and Computer Engineering, 43(3), 170-173.Search in Google Scholar
Oramas, S., Barbieri, F., Nieto Caballero, O., & Serra, X. (2018). Multimodal deep learning for music genre classification. Transactions of the International Society for Music Information Retrieval. 2018; 1 (1): 4-21.Search in Google Scholar
Costa, Y. M., Oliveira, L. S., Koerich, A. L., Gouyon, F., & Martins, J. G. (2012). Music genre classification using LBP textural features. Signal Processing, 92(11), 2723-2737.Search in Google Scholar
Nanni, L., Costa, Y. M., Lumini, A., Kim, M. Y., & Baek, S. R. (2016). Combining visual and acoustic features for music genre classification. Expert Systems with Applications, 45, 108-117.Search in Google Scholar
Ghildiyal, A., Singh, K., & Sharma, S. (2020, November). Music genre classification using machine learning. In 2020 4th international conference on electronics, communication and aerospace technology (ICECA) (pp. 1368-1372). IEEE.Search in Google Scholar
Ndou, N., Ajoodha, R., & Jadhav, A. (2021, April). Music genre classification: A review of deep-learning and traditional machine-learning approaches. In 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) (pp. 1-6). IEEE.Search in Google Scholar
Elbir, A., & Aydin, N. (2020). Music genre classification and music recommendation by using deep learning. Electronics Letters, 56(12), 627-629.Search in Google Scholar
Brunner, G., Wang, Y., Wattenhofer, R., & Zhao, S. (2018, November). Symbolic music genre transfer with cyclegan. In 2018 ieee 30th international conference on tools with artificial intelligence (ictai) (pp. 786-793). IEEE.Search in Google Scholar
Goulart, A. J. H., Guido, R. C., & Maciel, C. D. (2012). Exploring different approaches for music genre classification. Egyptian Informatics Journal, 13(2), 59-63.Search in Google Scholar
Yu, Y., Luo, S., Liu, S., Qiao, H., Liu, Y., & Feng, L. (2020). Deep attention based music genre classification. Neurocomputing, 372, 84-91.Search in Google Scholar
Corrêa, D. C., & Rodrigues, F. A. (2016). A survey on symbolic data-based music genre classification. Expert Systems with Applications, 60, 190-210.Search in Google Scholar
Ceylan, H. C., Hardalaç, N., Kara, A. C., & Firat, H. (2021). Automatic music genre classification and its relation with music education. World Journal of Education, 11(2), 36-45.Search in Google Scholar
Chillara, S., Kavitha, A. S., Neginhal, S. A., Haldia, S., & Vidyullatha, K. S. (2019). Music genre classification using machine learning algorithms: a comparison. Int Res J Eng Technol, 6(5), 851-858.Search in Google Scholar
Vishnupriya, S., & Meenakshi, K. (2018, January). Automatic music genre classification using convolution neural network. In 2018 international conference on computer communication and informatics (ICCCI) (pp. 1-4). IEEE.Search in Google Scholar
Bhatia, J. K., Singh, R. D., & Kumar, S. (2021, October). Music genre classification. In 2021 5th International Conference on Information Systems and Computer Networks (ISCON) (pp. 1-4). IEEE.Search in Google Scholar
Markov, K., & Matsui, T. (2014). Music genre and emotion recognition using Gaussian processes. IEEE access, 2, 688-697.Search in Google Scholar
Rajanna, A. R., Aryafar, K., Shokoufandeh, A., & Ptucha, R. (2015, December). Deep neural networks: A case study for music genre classification. In 2015 IEEE 14th international conference on machine learning and applications (ICMLA) (pp. 655-660). IEEE.Search in Google Scholar
Ramírez, J., & Flores, M. J. (2020). Machine learning for music genre: multifaceted review and experimentation with audioset. Journal of Intelligent Information Systems, 55(3), 469-499.Search in Google Scholar
Liu, C., Feng, L., Liu, G., Wang, H., & Liu, S. (2021). Bottom-up broadcast neural network for music genre classification. Multimedia Tools and Applications, 80, 7313-7331.Search in Google Scholar
Rosner, A., & Kostek, B. (2018). Automatic music genre classification based on musical instrument track separation. Journal of Intelligent Information Systems, 50, 363-384.Search in Google Scholar
Walworth, D. D. (2003). The effect of preferred music genre selection versus preferred song selection on experimentally induced anxiety levels. Journal of Music Therapy, 40(1), 2-14.Search in Google Scholar
Singh, Y., & Biswas, A. (2022). Robustness of musical features on deep learning models for music genre classification. Expert Systems with Applications, 199, 116879.Search in Google Scholar
Cheng, Y. H., Chang, P. C., Nguyen, D. M., & Kuo, C. N. (2020). Automatic Music Genre Classification Based on CRNN. Engineering Letters, 29(1).Search in Google Scholar