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International Journal of Art Innovation and Development, 2023, 4(1); doi: 10.38007/IJAID.2023.040110.

Multi-voice Music Generation System Based on Recurrent Neural Network

Author(s)

Fei Qiao

Corresponding Author:
Fei Qiao
Affiliation(s)

Shanxi Technology and Business College, Shanxi, China

Philippine Christian University, Manila, Philippine

Abstract

Music is closely related to human life, and it is an important way for people to express their feelings and sing about life. With the rapid progress of artificial intelligence in recent years and its application in various fields, it has also brought great development to computer music, among which algorithmic composition is an important research branch of computer music. This paper aims to study the design of multi-voice music generation system based on recurrent neural network. This paper will take music audio as the research object, and propose a new algorithm for automatically synthesizing music based on recurrent neural network. The framework of automatic music synthesis with audio as the research object mainly includes the analysis of audio files, the audio features of music and the model applied to automatic composition. In the audio file analysis part, the structure of the audio file and the important parameters related to this experiment are introduced in detail, which lays the foundation for the successful experimental operation. In the part of music audio features, it introduces features including mel-frequency cepstral coefficients, linear predictive coding, zero-crossing rate, short-time energy value, etc. Among the models used in automatic composition, the circulating neural network, which is the most active artificial neural network in the field of automatic composition algorithm, and two variants of long-term and short-term memory model and gated circulating unit model are emphatically introduced, which are also the basic models studied in this paper. Secondly, the algorithm of automatic music and audio synthesis based on neural network is described in detail. Firstly, the problem of automatic music and audio synthesis is formally described, and the concepts of unit music, unit music vector, AI-generated music, etc. are put forward, which represents music creation as a processable problem. Then, the process of extracting the audio features of unit music is described in detail. After that, the prediction and synthesis process of music audio are described in detail, and the algorithm description is given. Finally, the audio mosaic synthesis part which directly affects the audience's intuitive auditory experience is introduced, and the method of weakening and enhancing first is put forward for superposition mosaic, so as to achieve smooth mosaic effect. Finally, a series of experiments are carried out on the algorithm model, including the music and audio automatic synthesis experiment based on LSTM model, the human-computer interaction experiment and the music and audio automatic synthesis experiment based on GRU.

Keywords

Recurrent Neural Network, Multi-Voice Music Generation System, Artificial Intelligence, Automatic Composition

Cite This Paper

Fei Qiao. Multi-voice Music Generation System Based on Recurrent Neural Network. International Journal of Art Innovation and Development (2023), Vol. 4, Issue 1: 119-127. https://doi.org/10.38007/IJAID.2023.040110.

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