Indian Musical Instrument Recognition Using Gaussian Mixture Model-Reference-Cited by-同舟云学术

Indian Musical Instrument Recognition Using Gaussian Mixture Model

Published:2019-11-07 Issue: Volume: Page:51-57
ISSN:
Container-title:Techno-Societal 2018
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Author:

Patil Swarupa R.,Machale Sheetal J.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-16962-6_6

Reference10 articles.

1. Joshi S, Chitre A (2015) Identification of Indian musical instruments by feature analysis with different classifiers. In: 6th international conference on computer and communication technology, ACM, Allahabad, India

2. Chandwadkar DM, Sutaone MS (2013) Selecting proper features and classifiers for accurate identification of musical instruments. Int J Mach Learn Comput 3(2):172–175

3. Han Y, Kim J, Lee K (2017) Deep convolutional neural networks for predominant instrument recognition in polyphonic music. IEEE/ACM Trans Audio Speech Lang Process 25(1):208–221

4. Reynolds D (2015) Gaussian mixture models. In: Li SZ, Jain AK (eds) Encyclopedia of biometrics. Springer, Boston

5. Marques J, Moreno PJ (1999) A study of musical instrument classification using Gaussian mixture models and support vector machines. Cambridge Research Laboratory, Technical Report Series, USA

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