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- W4387570196 abstract "At present, improving the matching between music and dance and the authenticity of dance generation is the focus of related research. Traditional methods can't align the beat and calculate the dance movements and music coefficients. Driven by artificial intelligence, this article puts forward an audio feature extraction algorithm based on rhythm features, constructs a matching model between dance movements and rhythm features, and proves the effectiveness of the algorithm through simulation analysis. Experiments show that the accuracy of the matching model between dance movements and beat features based on artificial intelligence can reach 96.31%, and the matching synchronization between dance movements and music can reach 95.88%. The model constructed in this article can fully reflect the synchronization of music and dance movements, and the matching quality of model movements and music is good." @default.
- W4387570196 created "2023-10-13" @default.
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- W4387570196 date "2023-01-01" @default.
- W4387570196 modified "2023-10-13" @default.
- W4387570196 title "Simulation Design of Matching Model Between Action and Music Tempo Characteristics Based on Artificial Intelligence Algorithm" @default.
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- W4387570196 doi "https://doi.org/10.1007/978-3-031-38651-0_18" @default.
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