Demonstration of performancenet: A convolutional neural network model for score-to-audio music generation
Journal
IJCAI International Joint Conference on Artificial Intelligence
Journal Volume
2019-August
ISBN
9780999241141
Date Issued
2019-01-01
Author(s)
Abstract
We present in this paper PerformacnceNet, a neural network model we proposed recently to achieve score-to-audio music generation. The model learns to convert a music piece from the symbolic domain to the audio domain, assigning performance-level attributes such as changes in velocity automatically to the music and then synthesizing the audio. The model is therefore not just a neural audio synthesizer, but an AI performer that learns to interpret a musical score in its own way. The code and sample outputs of the model can be found online at https://github.com/bwang514/PerformanceNet.
Type
conference paper