Everybody Compose: Deep Beats To Music
Sound
2023-07-11 v1 Machine Learning
Multimedia
Audio and Speech Processing
Abstract
This project presents a deep learning approach to generate monophonic melodies based on input beats, allowing even amateurs to create their own music compositions. Three effective methods - LSTM with Full Attention, LSTM with Local Attention, and Transformer with Relative Position Representation - are proposed for this novel task, providing great variation, harmony, and structure in the generated music. This project allows anyone to compose their own music by tapping their keyboards or ``recoloring'' beat sequences from existing works.
Cite
@article{arxiv.2306.06284,
title = {Everybody Compose: Deep Beats To Music},
author = {Conghao Shen and Violet Z. Yao and Yixin Liu},
journal= {arXiv preprint arXiv:2306.06284},
year = {2023}
}
Comments
Accepted MMSys '23