2021 Vol.4 Jun.No.2

• Title: Automatic Generation Method of Piano Melody Based on Improved Neural Network
• Name: Xin Wang
• Company: Zhengzhou University School of Music
• Abstract:

  There are defects in the music coherence time structure of automatic melody generation of piano music, and there is a dependency between manual input tracks, which affects the quality of music generation. Based on improved neural network, an automatic generation method of piano melody is proposed. The main melody of piano music is extracted, and the specific notes are obtained according to the mapping relationship between the fundamental frequency and the keys. The feature vector of melody notes of piano music is constructed to make the note sequence better describe the note relationship. The self attention mechanism is introduced into the neural network to reduce the time dependence of the input track. According to the input note characteristics, an automatic melody generation model is established based on improved neural network. The experimental results show that the note span and qualified note proportion of the automatic melody generation method of piano music based on improved neural network are higher than those based on Markov model and LSTM, which can improve the quality of piano music.

   

• Keyword: improved neural network; automatic generation; music generation; melody generation; piano music; music melody;
• DOI: 10.12250/jpciams2021090222
• Citation form: Xin Wang.Automatic Generation Method of Piano Melody Based on Improved Neural Network[J]. Computer Informatization and Mechanical System,2021,Vol.4,pp.13-19.

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