Enhancing Creativity and Validation in Explanatory Deep Learning-Based Symbolic Music Generation: A Hybrid Approach With LSTM and Genetic Algorithms

Enhancing Creativity and Validation in Explanatory Deep Learning-Based Symbolic Music Generation: A Hybrid Approach With LSTM and Genetic Algorithms

This research proposes an explanatory deep learning-based music generation approach, where the output of a deep learning model is validated through a set of predefined musical rules, with a refinement process applied when inaccuracies are detected. The study focuses on gamelan, a traditional form of...

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Bibliographic Details
Main Authors: Ahmad Zainul Fanani, Arry Maulana Syarif, Ika Novita Dewi, Abdul Karim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Automatic music generation
long-short term memory
genetic algorithms
LSTM-GA
explanatory-based music generation
gamelan
Online Access:https://ieeexplore.ieee.org/document/11029210/
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https://ieeexplore.ieee.org/document/11029210/

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