会议专题

Multi-category MIDI music generation based on LSTM Generative adversarial network

  Music generation by neural networks has become a central issue since deep neural networks demonstrated their ability in learning from big data collections.This paper proposes a music score generation model which employs multi-layer RNNs and GAN scheme.First of all,the midi sequences are passed to the model,which is parsed as tone lengths,frequencies,intensities,and timing,and then the music theory law is introduced,while the initial sequences are set as music chords.Consequently,the distribution of music is learned in the process of training.The experimental results show that it is a feasible network structure which can generate multi-category music with good hearing experience.

Music generation GAN,RNN,midi,chords

Yutian Wang Guochen Yu Juanjuan Cai Hui Wang

Key Laboratory of Media Audio & Video,Ministry of Education,Communication University of China,Beijing,China

国际会议

2019 2nd International Conference on Mechanical, Electronic and Engineering Technology (MEET 2019) 2019年第二届机电与工程技术国际会议

西安

英文

20-25

2019-01-19(万方平台首次上网日期,不代表论文的发表时间)