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- W4289926542 abstract "With the rapid development of Internet technology, digital multimedia technology and artificial intelligence, digital media resources represented by audio and video are gaining more popularity, and a large number of Internet applications with audio and video sharing are widely accepted by everyone. Users’ demand for sharing audio and video has greatly increased, and the motivation is greatly increased, and the demand for automatic composing is increasing day by day. In this paper, we focus on audio data processing, automatic composition model analysis and selection, and result evaluation. We introduce different models for music data characterization and propose an automatic composition model, which provides certain innovative ideas for the development of artificial intelligence arranging." @default.
- W4289926542 created "2022-08-06" @default.
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- W4289926542 date "2022-06-24" @default.
- W4289926542 modified "2023-09-26" @default.
- W4289926542 title "Design and study of an automatic composition model based on a bidirectional long- and short-term memory recurrent neural network with a self-attentive mechanism" @default.
- W4289926542 doi "https://doi.org/10.1109/icaica54878.2022.9844528" @default.
- W4289926542 hasPublicationYear "2022" @default.
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