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http://dx.doi.org/10.12815/kits.2013.12.1.081

Music Search Algorithm for Automotive Infotainment System  

Kim, Hyoung-Gook (광운대학교 전파공학과)
Kim, Jae-Man (광운대학교 전파공학과)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.12, no.1, 2013 , pp. 81-87 More about this Journal
Abstract
In this paper, we propose a music search algorithm for automotive infotainment system. The proposed method extracts fingerprints using the high peaks based on log-spectrum of the music signal, and the extracted music fingerprints store in cloud server applying a hash value. In the cloud server, the most similar music is retrieved by comparing the user's query music with the fingerprints stored in hash table of cloud server. To evaluate the performance of the proposed music search algorithm, we measure an accuracy of the retrieved results according to various length of the query music and measure a retrieval time according to the number of stored music database in hash table.
Keywords
Music Search Algorithm; Audio Fingerprint; Cloud Server; Hash Table;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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