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- W2204046089 abstract "While there are perhaps millions of MIDI files available over the Internet, it is difficult to find performances of a particular piece because well labeled metadata and indexes are unavailable. We address the particular problem of finding performances of compositions for piano, which is different from often-studied problems of Query-by-Humming and Music Fingerprinting. Our MidiFind system is designed to search a million MIDI files with high precision and recall. By using a hybrid search strategy, it runs more than 1000 times faster than naive competitors, and by using a combination of bag-of-words and enhanced Levenshtein distance methods for similarity, our system achieves a precision of 99.5 % and recall of 89.8 %." @default.
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- W2204046089 date "2014-01-01" @default.
- W2204046089 modified "2023-10-18" @default.
- W2204046089 title "MidiFind: Similarity Search and Popularity Mining in Large MIDI Databases" @default.
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- W2204046089 doi "https://doi.org/10.1007/978-3-319-12976-1_17" @default.
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