| Title: | Artificial intelligence for music generation |
| Authors: | Likhachou, A. A. |
| Keywords: | материалы конференций;artificial intelligence;machine learning;artificial neural network;algorithms |
| Issue Date: | 2025 |
| Publisher: | БГУИР |
| Citation: | Likhachou, A. A. Artificial intelligence for music generation / A. A. Likhachou // Электронные системы и технологии : сборник материалов 61-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 21–25 апреля 2025 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Д. В. Лихаческий [и др.]. – Минск, 2025. – С. 709–710. |
| Abstract: | Artificial intelligence is becoming an essential tool in music generation, utilizing various algorithms such as recurrent neural networks, transformers, generative adversarial networks, and variational autoencoders. These methods enable AI to compose, assist musicians, and create background music for films, video games, and advertisements. While AI can generate structured and stylistically coherent music, it lacks the emotional depth and cultural awareness of human composers. Rather than replacing musicians, AI serves as a creative assistant, expanding artistic possibilities and transforming the way music is produced. This paper explores the key algorithms behind AI-generated music and their impact on the industry. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/59979 |
| Appears in Collections: | Электронные системы и технологии : материалы 61-й конференции аспирантов, магистрантов и студентов (2025)
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