Jin Seok Ha , Kyong I Ku , Jae Hyun Park , Yoo Sung Kim

The KIPS Transactions:PartD, Vol. 10, No. 3, pp. 547-558, Jun. 2003
10.3745/KIPSTD.2003.10.3.547,   PDF Download:

Abstract

From the viewpoint of that music melody has the similar features to time-series data, music melody is transformed to a time-series data with normalization and corrections and the similarity between melodies is defined as the Euclidean distance between the transformed time-series data. Then, based the similarity between melodies of a music object, melodies are clustered and the representative of each cluster is extracted as one of theme melodies for the music. To construct the theme melody index, a theme melody is represented as a point of the multidimensional metric space of M-tree. For retrieval of user´s query melody, the query melody is also transformed into a time-series data by the same way of indexing phase. To retrieve the similar melodies to the query melody given by user from the theme melody index the range query search algorithm is used. By the implementation of the prototype system using the proposed theme melody index we show the effectiveness of the proposed methods.

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