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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/59979
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dc.contributor.authorLikhachou, A. A.-
dc.coverage.spatialМинскen_US
dc.date.accessioned2025-06-04T08:18:47Z-
dc.date.available2025-06-04T08:18:47Z-
dc.date.issued2025-
dc.identifier.citationLikhachou, 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.en_US
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/59979-
dc.description.abstractArtificial 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.en_US
dc.language.isoenen_US
dc.publisherБГУИРen_US
dc.subjectматериалы конференцийen_US
dc.subjectartificial intelligenceen_US
dc.subjectmachine learningen_US
dc.subjectartificial neural networken_US
dc.subjectalgorithmsen_US
dc.titleArtificial intelligence for music generationen_US
dc.typeArticleen_US
Appears in Collections:Электронные системы и технологии : материалы 61-й конференции аспирантов, магистрантов и студентов (2025)

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