LSTM Networks for Music Generation
Xin Xu

TL;DR
This paper explores the use of LSTM networks for automatic music generation, analyzing how different network structures influence the quality of generated music and reviewing other existing methods in the field.
Contribution
It introduces a systematic comparison of LSTM architectures for music generation and discusses alternative approaches used by researchers.
Findings
Different LSTM structures impact music quality.
LSTM-based methods outperform some traditional techniques.
Review of various methods in music generation.
Abstract
The paper presents a method of the music generation based on LSTM (Long Short-Term Memory), contrasts the effects of different network structures on the music generation and introduces other methods used by some researchers.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMusic and Audio Processing · Music Technology and Sound Studies
MethodsSigmoid Activation · Tanh Activation · Long Short-Term Memory
