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Everybody Compose: Deep Beats To Music

2023-06-09Code Available1· sign in to hype

Conghao Shen, Violet Z. Yao, Yixin Liu

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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.

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