The Analysis of Multi-Track Music Generation With Deep Learning Models in Music Production Process

This study aims to explore the application of deep learning models in multi-track music generation to enhance the efficiency and quality of music production. Considering the limited capability of traditional methods in extracting and representing audio features, a multi-track music generation model...

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Hlavní autoři:	Rong Jiang, Xiaofei Mou
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Access
Témata:	Deep learning transformer music generation multi-track music BERT
On-line přístup:	https://ieeexplore.ieee.org/document/10630499/
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