Music generation with long short-term memory network

被引：0
|
作者：
Yang, Junye [1 ]
机构：
[1] Chongqing BI Acad, Chongqing, Peoples R China
来源：
SECOND IYSF ACADEMIC SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND COMPUTER ENGINEERING | 2021年 / 12079卷
关键词：
Music generation; deep network; LSTM; MIDI;
D O I：
10.1117/12.2622869
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Music is an indispensable part of people's lives. It can make people relaxed and can become a way for people to socialize. However, it is a big challenge for ordinary people to generate music, because they do not have professional music knowledge. Deep learning can solve this. By using the LSTM model, we can convert music into music scores and express them with specific numbers. Then pass the data packet into the model, and the model will guess the next music based on the existing music data, so as to achieve music generation.
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页数：5
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