Jong Sik Mo, So Young Kim, Kyong I Ku, Chang Ho Han, Yoo Sung Kim

The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 7, No. 12, pp. 3762-3774, Dec. 2000
10.3745/KIPSTE.2000.7.12.3762,   PDF Download:

Abstract

The advances of computer hardware and information processing technologies raise the needs of multimedia information retrieval systems. Up to date, multimedia information systems have been developed for text information and image information. Nowadays, the multimedia information systems for video and audio information, especially for musical information have been grown up more and more. In recent music information retrieval systems, not only the information retrieval based on meta-information such like composer and title but also the content-based information retrieval is supported. The content-based information retrieval in music information retrieval systems utilize the similarity value between the user query and the music information stored in music database. In this paper, hence, we developed a similarity computation algorithm in which the pitches and lengths of each corresponding pair of notes are used as the fundamental factors for similarity computation between musical information. We also make an experiment of the proposed algorithm to validate its appropriateness. From the experimental results, the proposed similarity computation algorithm is shown to be able to correctly check whether two music files are analogous to each other or not based on melodies.

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