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Open AccessEditorial

Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening

1
Department of Information Engineering, Università Politecnica delle Marche, 60131 Ancona, Italy
2
Center for Digital Music, Queen Mary University, London E1 4FZ, UK
3
Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea
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Authors to whom correspondence should be addressed.
Appl. Sci. 2021, 11(2), 473; https://doi.org/10.3390/app11020473
Received: 2 December 2020 / Accepted: 16 December 2020 / Published: 6 January 2021
Note: In lieu of an abstract, this is an excerpt from the first page.

The recent introduction of Deep Learning has led to a vast array of breakthroughs in many fields of science and engineering [...] View Full-Text
Keywords: deep learning; machine listening; audio processing deep learning; machine listening; audio processing
MDPI and ACS Style

Gabrielli, L.; Fazekas, G.; Nam, J. Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening. Appl. Sci. 2021, 11, 473. https://doi.org/10.3390/app11020473

AMA Style

Gabrielli L, Fazekas G, Nam J. Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening. Applied Sciences. 2021; 11(2):473. https://doi.org/10.3390/app11020473

Chicago/Turabian Style

Gabrielli, Leonardo; Fazekas, György; Nam, Juhan. 2021. "Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening" Appl. Sci. 11, no. 2: 473. https://doi.org/10.3390/app11020473

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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