Zobrazeno 1 - 10
of 28 381
pro vyhledávání: '"music genre"'
Publikováno v:
Journal of Internet Computing & Services. Aug2024, Vol. 25 Issue 4, p57-64. 8p.
Autor:
Van der Valk Bouman, Emy S.1 (AUTHOR), Becker, Antonia S.1 (AUTHOR) a.becker@erasmusmc.nl, Schaap, Julian2 (AUTHOR), Berghman, Michaël2 (AUTHOR), Oude Groeniger, Joost3 (AUTHOR), Van Groeningen, Merle1 (AUTHOR), Vandenberg, Femke4 (AUTHOR), Geensen, Roos1 (AUTHOR), Jeekel, Johannes1 (AUTHOR), Klimek, Markus5 (AUTHOR)
Publikováno v:
Scientific Reports. 9/18/2024, Vol. 14 Issue 1, p1-11. 11p.
This paper exploits the zero-shot capabilities of pre-trained large language models (LLMs) for music genre classification. The proposed approach splits audio signals into 20 ms chunks and processes them through convolutional feature encoders, a trans
Externí odkaz:
http://arxiv.org/abs/2410.08321
Autor:
Mogonediwa, Keoikantse
Music genre classification is an area that utilizes machine learning models and techniques for the processing of audio signals, in which applications range from content recommendation systems to music recommendation systems. In this research I explor
Externí odkaz:
http://arxiv.org/abs/2405.15096
Autor:
Emy S. Van der Valk Bouman, Antonia S. Becker, Julian Schaap, Michaël Berghman, Joost Oude Groeniger, Merle Van Groeningen, Femke Vandenberg, Roos Geensen, Johannes Jeekel, Markus Klimek
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Music is a promising (adjunctive) treatment for both acute and chronic pain, reducing the need for pharmacological analgesics and their side effects. Yet, little is known about the effect of different types of music. Hence, we investigated t
Externí odkaz:
https://doaj.org/article/0b06a0af1c2b4c889b018f74935dddb3
Autor:
Kamuni, Navin, Panwar, Dheerendra
The aim of this study is to teach an algorithm how to recognize different types of music. Users will submit songs for analysis. Since the algorithm hasn't heard these songs before, it needs to figure out what makes each song unique. It does this by b
Externí odkaz:
http://arxiv.org/abs/2405.17413
Autor:
Gan, Rumeijiang1,2 (AUTHOR) ahutwfy@ahut.edu.cn, Huang, Tichen2,3 (AUTHOR) tichenhuang@163.com, Shao, Jin4 (AUTHOR) shaojin@stu.cqu.edu.cn, Wang, Fuyu2,3 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). May2024, Vol. 12 Issue 10, p1549. 23p.
Autor:
Kamuni, Navin, Jindal, Mayank, Soni, Arpita, Mallreddy, Sukender Reddy, Macha, Sharath Chandra
For Music Information Retrieval downstream tasks, the most common audio representation is time-frequency-based, such as Mel spectrograms. In order to identify musical genres, this study explores the possibilities of a new form of audio representation
Externí odkaz:
http://arxiv.org/abs/2404.01058
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Akademický článek
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