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RHYTHMIX – LSTM Based Music Synthesizer

Year: 2024

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14557565

Authors: Aruna U, Samved C Mouli, ShristiJain, Srivatsa A Kumar, Tanu Singh

Language: English

Topic: Music Technology and Sound Studies

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6949260504

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