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Cover song detection is becoming a very hot research topic when plentiful personal music recordings or performance are released on the Internet. A nice cover song recognizer helps us group and detect cover songs to improve the searching experience. The traditional detection is to match two musical audio sequences by exhaustive pairwise comparisons. Different from the existing work, our aim is to generate...
Content-based audio information retrieval is one of the most interesting and fast-growing research areas. Suitable feature sets can help to reduce the tedious computation time and speed up retrieval. In this paper we report a study of the music spectral properties aimed at the acoustic-based music data similarity measurement and show that the spectral features of adjacent frames are highly correlated...
This paper describes a real-time audio-based automatic music genre classifier for use in organizing, browsing, and searching musical digital libraries. A decision tree classifier trained on a 40-dimension feature space is used to categorize music into one of 14 different genres with the results being displayed to a continuously updating user interface
This paper introduces the M2K (Music-to-Knowledge) music digital library (MDL) and music information retrieval (MIR) prototyping and evaluation environment to the digital library research community. M2K is being developed as part of the International Music Information Retrieval Systems Evaluation Laboratory project (IMIRSEL). The goal of the IMIRSEL project is the creation of standardized tools and...
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