RHYTHMIX – LSTM Based Music Synthesizer

The paper presents an extensive survey of Long Short-Term Memory networks in music generation, covering their application to melody creation, Harmonic progression, rhythm generation,and multi-track music. The latest developments in neural music models are examined. The survey explores difficulties like handling long-term musical dependency and improving the structural coherence of compositions. Possible future directions for combining LSTMs with other neural architectures to advance the quality and complexity of music is discussed.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-27
DOI
https://doi.org/10.5281/zenodo.14557566
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

RHYTHMIX – LSTM Based Music Synthesizer

Zenodo (CERN European Organization for Nuclear Research)
Music Technology and Sound Studies
article

RHYTHMIX – LSTM Based Music Synthesizer

article en

Abstract

The paper presents an extensive survey of Long Short-Term Memory networks in music generation, covering their application to melody creation, Harmonic progression, rhythm generation,and multi-track music. The latest developments in neural music models are examined. The survey explores difficulties like handling long-term musical dependency and improving the structural coherence of compositions. Possible future directions for combining LSTMs with other neural architectures to advance the quality and complexity of music is discussed.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 61%
Music Technology and Sound Studies
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RHYTHMIX – LSTM Based Music Synthesizer · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS