Abstract
Content-based music information retrieval and theme mining are two key problems in digital music libraries, where “themes” mean the longest repeating patterns in a piece of music. However, most data structures constructed for retrieving music data can not be efficiently used to mine the themes of music pieces, and vice versa. The suffix tree structure can be used for both functions, nevertheless its height is too large and its maintenance is somewhat difficult. In this paper, a kind of index structure is introduced, which adopts the idea of inverted files and that of N-gram. It can be used to retrieve music data as well as to mine music themes. Based on the index and several useful concepts, a theme mining algorithm is proposed. Also, two implementations of a content-based music information retrieval algorithm are presented. Experiments show the correctness and efficiency of the proposed index and algorithms.
This work was supported by the National Grand Fundamental Research 973 Program of China under Grant No.G1999032704, the NSF of China under Grant No.60273082, the 863 Research Plan of China under Grant No.2002AA444110 and the Army Research Plan of China under Grant No.41315.2.3.
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Li, J., Wang, C., Shi, S. (2004). A Kind of Index for Content-Based Music Information Retrieval and Theme Mining. In: Chen, Z., Chen, H., Miao, Q., Fu, Y., Fox, E., Lim, Ep. (eds) Digital Libraries: International Collaboration and Cross-Fertilization. ICADL 2004. Lecture Notes in Computer Science, vol 3334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30544-6_38
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DOI: https://doi.org/10.1007/978-3-540-30544-6_38
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