Bottom-up broadcast neural network for music genre classification-Reference-Cited by-同舟云学术

Bottom-up broadcast neural network for music genre classification

Published:2020-10-27 Issue:5 Volume:80 Page:7313-7331
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Liu Caifeng^ORCID,Feng Lin,Liu Guochao,Wang Huibing,Liu Shenglan

Funder

National Natural Science Foundation of China

National Key Scientific Instrument and Equipment Development Projects of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-020-09643-6.pdf

Reference46 articles.

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2. Cano P, Gómez Gutiérrez E, Gouyon F, Herrera Boyer P, Koppenberger M, Ong BS, Serra X, Streich S, Wack N (2006) Ismir 2004 audio description contest

3. Choi K, Fazekas G, Sandler M, Cho K (2017) Transfer learning for music classification and regression tasks. arXiv:1703.09179

4. Chollet F et al (2015) Keras

5. Costa YM, Oliveira LS, Silla CN Jr (2017) An evaluation of convolutional neural networks for music classification using spectrograms. Applied Soft Computing 52:28–38

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