Symbolic and Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music

Author:

Zhu Kexin,Zhang Xulong,Wang Jianzong,Cheng Ning,Xiao Jing

Publisher

Springer Nature Switzerland

Reference38 articles.

1. de Berardinis, J., Cangelosi, A., Coutinho, E.: The multiple voices of musical emotions: source separation for improving music emotion recognition models and their interpretability. In: Proceedings of the 21st International Society for Music Information Retrieval Conference, pp. 310–317 (2020)

2. Chen, N., Wang, S.: High-level music descriptor extraction algorithm based on combination of multi-channel cnns and lstm. In: Proceedings of the 18th International Society for Music Information Retrieval Conference, pp. 509–514 (2017)

3. Choi, K., Fazekas, G., Sandler, M., Cho, K.: Transfer learning for music classification and regression tasks. In: 18th International Society for Music Information Retrieval Conference, pp. 141–149. International Society for Music Information Retrieval (2017)

4. Chou, Y.H., Chen, I., Chang, C.J., Ching, J., Yang, Y.H., et al.: Midibert-piano: large-scale pre-training for symbolic music understanding. arXiv:2107.05223 (2021)

5. Chou, Y.H., Chen, I., Chang, C.J., Ching, J., Yang, Y.H., et al.: Midibert-piano: Large-scale pre-training for symbolic music understanding. arXiv:2107.05223 (2021)

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