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2023
MemoMusic 3.0: Considering Context at Music Recommendation and Combining Music Theory at Music Generation
Luntian Mou, Yihan Sun, Yunhan Tian, Yiqi Sun, Yuhang Liu, Zexi Zhang, Ruichen He, Juehui Li, Jueying Li, Zijin Li, Feng Gao, Yemin Shi, Ramesh Jain
IEEE International Conference on Multimedia and Expo Workshops (ICMEW) 2023 Workshop
MemoMusic 3.0 enhances personalized music recommendation by considering the music listening context, and improves music generation by introducing music theory. The system considers how context affects listeners' emotional states and incorporates music theory knowledge for better generation. Using a Transformer-based framework trained on Classic, Pop, and Yanni music, it generates music based on dominant melodies with target emotional values while following music theory principles. Experimental results show improved emotional impact and user satisfaction.