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http://dx.doi.org/10.5391/JKIIS.2016.26.4.301

Highlight based Lyrics Search Considering the Characteristics of Query  

Kim, Kweon Yang (Dept. of Computer Engineering, Kyungil University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.26, no.4, 2016 , pp. 301-307 More about this Journal
Abstract
This paper proposes a lyric search method to consider the characteristics of the user query. According to the fact that queries for the lyric search are derived from highlight parts of the music, this paper uses the hierarchical agglomerative clustering to find the highlight and proposes a Gaussian weighting to consider the neighbor of the highlight as well as highlight. By setting the mean of a Gaussian weighting at the highlight, this weighting function has higher weights near the highlight and the lower weights far from the highlight. Then, this paper constructs a index of lyrics with the gaussian weighting. According to the experimental results on a data set obtained from 5 real users, the proposed method is proved to be effective.
Keywords
Highlight based Lyric Search; Hierarchical Agglomerative Clustering; Gaussian Weighting;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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