Zobrazeno 1 - 10
of 12 186
pro vyhledávání: '"music processing"'
The recent explosion of generative AI-Music systems has raised numerous concerns over data copyright, licensing music from musicians, and the conflict between open-source AI and large prestige companies. Such issues highlight the need for publicly av
Externí odkaz:
http://arxiv.org/abs/2409.10831
In the domain of symbolic music research, the progress of developing scalable systems has been notably hindered by the scarcity of available training data and the demand for models tailored to specific tasks. To address these issues, we propose Melod
Externí odkaz:
http://arxiv.org/abs/2407.02277
Autor:
Huang, Yu-Fen, Moran, Nikki, Coleman, Simon, Kelly, Jon, Wei, Shun-Hwa, Chen, Po-Yin, Huang, Yun-Hsin, Chen, Tsung-Ping, Kuo, Yu-Chia, Wei, Yu-Chi, Li, Chih-Hsuan, Huang, Da-Yu, Kao, Hsuan-Kai, Lin, Ting-Wei, Su, Li
In cross-modal music processing, translation between visual, auditory, and semantic content opens up new possibilities as well as challenges. The construction of such a transformative scheme depends upon a benchmark corpus with a comprehensive data i
Externí odkaz:
http://arxiv.org/abs/2406.06375
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-5 (2024)
Abstract Nowadays, the application of artificial intelligence (AI) algorithms and techniques is ubiquitous and transversal. Fields that take advantage of AI advances include sound and music processing. The advances in interdisciplinary research poten
Externí odkaz:
https://doaj.org/article/b658c22d20084d188b167a463864cad6
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Akademický článek
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Autor:
Shi, Jiatong, Guo, Shuai, Qian, Tao, Huo, Nan, Hayashi, Tomoki, Wu, Yuning, Xu, Frank, Chang, Xuankai, Li, Huazhe, Wu, Peter, Watanabe, Shinji, Jin, Qin
This paper introduces a new open-source platform named Muskits for end-to-end music processing, which mainly focuses on end-to-end singing voice synthesis (E2E-SVS). Muskits supports state-of-the-art SVS models, including RNN SVS, transformer SVS, an
Externí odkaz:
http://arxiv.org/abs/2205.04029
Autor:
Cancino-Chacón, Carlos, Peter, Silvan David, Karystinaios, Emmanouil, Foscarin, Francesco, Grachten, Maarten, Widmer, Gerhard
Publikováno v:
Proceedings of the Music Encoding Conference (MEC), 2022, Halifax, Canada
Partitura is a lightweight Python package for handling symbolic musical information. It provides easy access to features commonly used in music information retrieval tasks, like note arrays (lists of timed pitched events) and 2D piano roll matrices,
Externí odkaz:
http://arxiv.org/abs/2206.01071
Publikováno v:
In Journal of Neurolinguistics August 2023 67
Autor:
Christof Weiß, Vlora Arifi-Müller, Michael Krause, Frank Zalkow, Stephanie Klauk, Rainer Kleinertz, Meinard Müller
Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 6, Iss 1, Pp 135–149-135–149 (2023)
This paper introduces the Wagner Ring Dataset (WRD), a multi-modal and multi-version resource on the large-scale opera cycle Der Ring des Nibelungen by Richard Wagner. The Ring comprises four music dramas organized into eleven acts and 21 939 measure
Externí odkaz:
https://doaj.org/article/03c5b0ad9c084f4aa80d7c1b2333ab11