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Thai Classical Music Matching Using t-Distribution on instantaneous robust algorithm for pitch tracking Framework

JOURNAL OF INFORMATION PROCESSING SYSTEMS 2017年第5期13卷 1213-1228页

作者： Boonmatham, Pheerasut Pongpinigpinyo, Sunee Soonklang, Tasanawan Silpakorn Univ Fac Sci Dept Comp Nakhon Pathom Thailand

The pitch tracking of music has been researched for several decades. Several possible improvements are available for creating a good t-distribution, using the instantaneous robust algorithm for pitch tracking framework to perfectly detect pitch. This article shows how to detect the pitch of music utilizing an improved detection method which applies a statistical method;this approach uses a pitch track, or a sequence of frequency bin numbers. This sequence is used to create an index that offers useful features for comparing similar songs. The pitch frequency spectrum is extracted using a modified instantaneous robust algorithm for pitch tracking (IRAPT) as a base combined with the statistical method. The pitch detection algorithm was implemented, and the percentage of performance matching in Thai classical music was assessed in order to test the accuracy of the algorithm. We used the longest common subsequence to compare the similarities in pitch sequence alignments in the music. The experimental results of this research show that the accuracy of retrieval of Thai classical music using the t-distribution of instantaneous robust algorithm for pitch tracking (t-IRAPT) is 99.01%, and is in the top five ranking, with the shortest query sample being five seconds long.

关键词： pitch tracking algorithm instantaneous robust algorithm for pitch tracking T-Distribution Shortest Query Sample

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