A survey of music emotion recognition |
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Authors: | Donghong HAN Yanru KONG Jiayi HAN Guoren WANG |
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Affiliation: | 1. School of Computer Science and Engineering, Northeastern University, Shenyang 110000, China2. Institute of Science and Technology Brain-Inspired Intelligence, Fudan University, Shanghai 200082, China3. School of Computer Science & Technology, Beijing Institute of Technology, Beijing 100089, China |
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Abstract: | Music is the language of emotions. In recent years, music emotion recognition has attracted widespread attention in the academic and industrial community since it can be widely used in fields like recommendation systems, automatic music composing, psychotherapy, music visualization, and so on. Especially with the rapid development of artificial intelligence, deep learning-based music emotion recognition is gradually becoming mainstream. This paper gives a detailed survey of music emotion recognition. Starting with some preliminary knowledge of music emotion recognition, this paper first introduces some commonly used evaluation metrics. Then a three-part research framework is put forward. Based on this three-part research framework, the knowledge and algorithms involved in each part are introduced with detailed analysis, including some commonly used datasets, emotion models, feature extraction, and emotion recognition algorithms. After that, the challenging problems and development trends of music emotion recognition technology are proposed, and finally, the whole paper is summarized. |
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Keywords: | artificial intelligence deep learning music emotion recognition |
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