A singer identification technique for content-based classification of MP3 music objects
Proceedings of the eleventh international conference on Information and knowledge management
ADBIS '01 Proceedings of the 5th East European Conference on Advances in Databases and Information Systems
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In this paper, a melody-based similarity computation algorithm for musical information is proposed in which melodies are used as the basic features for calculating the similarity between two music files. In multimedia information systems, in order to retrieve appropriately the needed information, content-based retrieval strategies are used which are based on the similarity between user's query and stored multimedia information. Hence an effective similarity computation algorithm is basically required for content-based retrieval for music information. In the proposed algorithm, the pitches and the lengths of musical notes, which compose melodies, of two corresponding music files are compared and then the comparison results are finally condensed into the similarity value between the corresponding two music files. The experimental results shows that the proposed algorithm is able to appropriately calculate the similarity value between music files on the basis of melodies.