Searching polyphonic indonesian folksongs based on n-gram indexing technique

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Abstract

Availability of enormous number of digital music presents challenge to organize and retrieve it in an effective way. We explore polyphonic Indonesian folksongs retrieval based on pattern matching such as n-gram in searching the songs. We compare the pattern matching results to regular text-based information retrieval system. The folksongs are either fully or partially indexed. The results of the experiments show that using text-based IR system or n-gram matching technique, both are effective in retrieving the polyphonic songs, regardless of the query length or position where the query fragment is taken. However, to achieve a better performance, fully indexed songs is preferable than partially indexed songs. © 2009 Springer Berlin Heidelberg.

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Marsye, A., & Adriani, M. (2009). Searching polyphonic indonesian folksongs based on n-gram indexing technique. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5839 LNCS, pp. 387–396). https://doi.org/10.1007/978-3-642-04769-5_34

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