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.
CITATION STYLE
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
Mendeley helps you to discover research relevant for your work.