20. A music contents summary generation method, the method comprising: extracting an audio feature value from a music file; reconfiguring segments of the music file by tracking a music content change point using the extracted feature values; first clustering the reconfigured segments using a Bayesian Information Criterion (BIC) method, and measuring a similarity and a repeatability between the reconfigured segments; extracting an MDCT-based timbre feature and an MDCT-MS-based tempo feature from each of the reconfigured segments; second clustering the reconfigured segments by calculating a Euclidean distance for the extracted timbre and tempo features and measuring the similarity and the repeatability between the reconfigured segments, the reconfigured segments being second clustered according to the similarity values based on the Euclidean distances; and determining the similarity and the repeatability between the segments based on a result of a comparison between the first clustering a the second clustering.
20. A music contents summary generation method, the method comprising: extracting an audio feature value from a music file; reconfiguring segments of the music file by tracking a music content change point using the extracted feature values; first clustering the reconfigured segments using a Bayesian Information Criterion (BIC) method, and measuring a similarity and a repeatability between the reconfigured segments; extracting an MDCT-based timbre feature and an MDCT-MS-based tempo feature from each of the reconfigured segments; second clustering the reconfigured segments by calculating a Euclidean distance for the extracted timbre and tempo features and measuring the similarity and the repeatability between the reconfigured segments, the reconfigured segments being second clustered according to the similarity values based on the Euclidean distances; and determining the similarity and the repeatability between the segments based on a result of a comparison between the first clustering a the second clustering. 22. The method of claim 20 , wherein the determining includes determining the similarity and the repeatability between the reconfigured segments according to the second clustering result, when there is no consistent part.