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pro vyhledávání: '"Joung, Haesun"'
Autor:
Joung, Haesun, Lee, Kyogu
Music auto-tagging is crucial for enhancing music discovery and recommendation. Existing models in Music Information Retrieval (MIR) struggle with real-world noise such as environmental and speech sounds in multimedia content. This study proposes a m
Externí odkaz:
http://arxiv.org/abs/2401.15323
In light of the enduring success of music streaming services, it is noteworthy that an increasing number of users are positively gravitating toward YouTube as their preferred platform for listening to music. YouTube differs from typical music streami
Externí odkaz:
http://arxiv.org/abs/2307.14718
Autor:
Kim, Kyungsu, Park, Minju, Joung, Haesun, Chae, Yunkee, Hong, Yeongbeom, Go, Seonghyeon, Lee, Kyogu
As digital music production has become mainstream, the selection of appropriate virtual instruments plays a crucial role in determining the quality of music. To search the musical instrument samples or virtual instruments that make one's desired soun
Externí odkaz:
http://arxiv.org/abs/2211.07951
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