The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
AI in Music Production: A Deep Learning Method for Music Creation
Abstract
Musical work creation using deep learning models has gained significant attention in recent years as advances in artificial intelligence (AI) and machine learning (ML) have allowed for new approaches to music composition, synthesis, and analysis. The creation of musical work using deep learning models requires specialized techniques that can learn complex patterns from large datasets of musical compositions, enabling the generation of original pieces that reflect the intricacies of musical theory and creativity. This research explores the application of deep learning models, particularly stacked artificial neural networks (ANNs), for generating musical compositions. By leveraging vast collections of MIDI data, the authors demonstrate how these models can learn hierarchical patterns of melody, harmony, rhythm, and structure. The study highlights the importance of data augmentation, particularly temporal and pitch transposition, in enhancing the diversity and complexity of the generated musical work.
Related Content
|
Usharani Bhimavarapu.
© 2025.
18 pages.
|
|
Mitra Tithi Dey, Suman Patra, Sucharita Mitra.
© 2025.
32 pages.
|
|
C. V. Suresh Babu, S. Karuppuswamy, R. Rijairaj, A. Vignesh.
© 2025.
36 pages.
|
|
Usharani Bhimavarapu.
© 2025.
20 pages.
|
|
Aigul Baibek, Nursulu Shaimerdanova, Layla Akhmetova, Kairat Zhanabaev.
© 2025.
24 pages.
|
|
Natliia Bazina, Natalia Vodolieieva.
© 2025.
28 pages.
|
|
Inna Timofiuk.
© 2025.
24 pages.
|
|
|