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MUSIC GENERATION USING DEEP LEARNING
ISSN: 2582 - 9130
Publisher: author
MUSIC GENERATION USING DEEP LEARNING
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 2
Article Transparency Score: 3
Article Operation Score: 2
Article Articles Score: 2
Article Accessibility Score: 3
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International Category Code (ICC):
ICC-1802
Publisher: Krishma Publication
International Journal Address (IAA):
IAA.ZONE/2582383689130
eISSN
:
2582 - 9130
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Abstract
We examine how lengthy short-term memory neural networks (NNs) may be utilised to create music compositions and offer a method for doing so in this study. Bach's musical style was chosen to train the NN in order for it to make similar music works. The recommended method converts midi files to song files before encoding them as NN inputs. Before feeding the files into the NNs, they are augmented, which converts them into distinct keys, and then they are fed into the NN for training. The final phase is the creation of music. The primary purpose is to assign an arbitrary note to the NN, which it will gradually modify until it produces a good piece of music. Several tests have been conducted in order to identify the ideal parameter values for producing good music. Keywords: lstm, music generation, deep learning, machine learning, neural networks
