NDLI: Automatic music classification for Dangdut and campursari using Naïve Bayes

Content Provider	IEEE Xplore Digital Library
Author	Christanti, M.V. Kurniawan, F. Tony
Copyright Year	2011
Description	Author affiliation: Laboratory of Knowledge Data Engineering, Faculty of Information Technology, Tarumanagara University, Jakarta, Indonesia (Christanti, M.V.; Kurniawan, F.; Tony)
Abstract	Music classification can be performed by classifying music according to its genre, style, mood, and others. Various methods have been implemented to automatically classify music. Naïve Bayes learning algorithm is one of the most efficient and effective classification algorithm. Dangdut and campursari music are the music often heard by Indonesian. But the classification of dangdut and campursari music is still rarely performed. In this study, we perform automatic music classification for dangdut and campursari music. We use Naïve Bayes to classify music and the data was discretized based on Minimum Description Length Principle (MDLP). We used jSymbolic to extract feature from MIDI files. Currently, we use 45 features that are included in the category of instruments and pitch. This experiment produced the accuracy of 85.14%.
Starting Page	1
Ending Page	6
File Size	622713
Page Count	6
File Format	PDF
ISBN	9781457707537
ISSN	21556830
e-ISBN	9781457707520
DOI	10.1109/ICEEI.2011.6021738
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-17
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Campursari Dangdut Accuracy Naïve Bayes Instruments Minimum Description Length Principle Training data Feature extraction Educational institutions Music Information Retrieval Testing
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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