MISNA - A musical instrument segregation system from noisy audio with LPCC-S features and extreme learning-Reference-Cited by-同舟云学术

MISNA - A musical instrument segregation system from noisy audio with LPCC-S features and extreme learning

Published:2018-04-26 Issue:21 Volume:77 Page:27997-28022
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Mukherjee Himadri,Obaidullah Sk Md,Phadikar Santanu,Roy Kaushik^ORCID

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/article/10.1007/s11042-018-5993-6/fulltext.html

Reference34 articles.

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2. Benetos E, Kotti M, Kotropoulos C (2007) Large scale musical instrument identification. In: 4th Sound and music computing conference, pp 283–286

3. Biernacki A (2017) Analysis and modelling of traffic produced by adaptive HTTP-based video. Multimed Tools Appl 76(10):12347–12368

4. Demṡar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7:1–30

5. Deshmukh S, Bhirud S (2014) Analysis and application of audio features extraction and classification method to be used for North Indian Classical Musics singer identification problem. Int J Adv Res Comput Commun Eng, 3(2)

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