Abstract
We investigated methods for music information retrieval systems where the search term is a portion of a misheard lyric. Lyric data presents its own unique challenges that are different to related problems such as name search. We compared three techniques, each configured for local rather than global matching: edit distance, Editex, and SAPS-L - a technique derived from Syllable Alignment Pattern Searching. Each technique was selected based on effectiveness at approximate pattern matching in related fields. Local edit distance and Editex performed comparably as evaluated with mean average precision and mean reciprocal rank. SAPS-L's effectiveness varied between measures. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Ring, N., & Uitdenbogerd, A. L. (2009). Finding “Lucy in Disguise”: The misheard lyric matching problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5839 LNCS, pp. 157–167). https://doi.org/10.1007/978-3-642-04769-5_14
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