@Article{          garfinkle.ea2017-patternfinder,
    author       = {Garfinkle, David and Arthur, Claire and Schubert, Peter
                   and Cumming, Julie and Fujinaga, Ichiro},
    year         = {2017},
    title        = {PatternFinder: Content-Based Music Retrieval with
                   music21},
    abstract     = {Content-Based Music Retrieval (CBMR) for symbolic music
                   aims to find all similar occurrences of a musical pattern
                   within a larger database of symbolic music. To the best of
                   our knowledge there does not currently exist a
                   distributable CBMR software package integrated with a
                   music analysis toolkit that facilitates extendability with
                   new CBMR methods. This project presents a new MIR tool
                   called "PatternFinder" satisfying these goals.
                   PatternFinder is built with the computational musicology
                   Python package music21, which provides a flexible platform
                   capable of working with many music notation formats. To
                   achieve polyphonic CBMR, we implement seven geometric
                   algorithms developed at the University of Helsinki-four of
                   which are being implemented and released publicly for the
                   first time. The application of our MIR tool is then
                   demonstrated through a musicological investigation of
                   Renaissance imitation masses, which borrow melodic or
                   contrapuntal material from a pre-existing musical work. In
                   addition, we show Pattern-Finder's ability to find a
                   contrapuntal pattern over a large dataset, Palestrina's
                   104 masses. Our investigations demonstrate the relevance
                   of our tool for musicological research as well as its
                   potential application for locating music within digital
                   music libraries.},
    doi          = {10.1145/3144749.3144751},
    isbn         = {9781450353472},
    journal      = {ACM International Conference Proceeding Series},
    keywords     = {Content-based music retrieval,Imitation
                   masses,Music21,Point-set similarity,Polyphonic
                   search,Symbolic music
                   similarity,Time-scaled,Time-warped,Transpositioninvariant,music
                   information retrieval},
    mendeley-tags= {music information retrieval},
    number       = {October},
    pages        = {5--8}
}

{"_id":"WGyBox92ThW9YpbRx","bibbaseid":"garfinkle-arthur-schubert-cumming-fujinaga-patternfindercontentbasedmusicretrievalwithmusic21-2017","authorIDs":[],"author_short":["Garfinkle, D.","Arthur, C.","Schubert, P.","Cumming, J.","Fujinaga, I."],"bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["Garfinkle"],"firstnames":["David"],"suffixes":[]},{"propositions":[],"lastnames":["Arthur"],"firstnames":["Claire"],"suffixes":[]},{"propositions":[],"lastnames":["Schubert"],"firstnames":["Peter"],"suffixes":[]},{"propositions":[],"lastnames":["Cumming"],"firstnames":["Julie"],"suffixes":[]},{"propositions":[],"lastnames":["Fujinaga"],"firstnames":["Ichiro"],"suffixes":[]}],"year":"2017","title":"PatternFinder: Content-Based Music Retrieval with music21","abstract":"Content-Based Music Retrieval (CBMR) for symbolic music aims to find all similar occurrences of a musical pattern within a larger database of symbolic music. To the best of our knowledge there does not currently exist a distributable CBMR software package integrated with a music analysis toolkit that facilitates extendability with new CBMR methods. This project presents a new MIR tool called \"PatternFinder\" satisfying these goals. PatternFinder is built with the computational musicology Python package music21, which provides a flexible platform capable of working with many music notation formats. To achieve polyphonic CBMR, we implement seven geometric algorithms developed at the University of Helsinki-four of which are being implemented and released publicly for the first time. The application of our MIR tool is then demonstrated through a musicological investigation of Renaissance imitation masses, which borrow melodic or contrapuntal material from a pre-existing musical work. In addition, we show Pattern-Finder's ability to find a contrapuntal pattern over a large dataset, Palestrina's 104 masses. Our investigations demonstrate the relevance of our tool for musicological research as well as its potential application for locating music within digital music libraries.","doi":"10.1145/3144749.3144751","isbn":"9781450353472","journal":"ACM International Conference Proceeding Series","keywords":"Content-based music retrieval,Imitation masses,Music21,Point-set similarity,Polyphonic search,Symbolic music similarity,Time-scaled,Time-warped,Transpositioninvariant,music information retrieval","mendeley-tags":"music information retrieval","number":"October","pages":"5–8","bibtex":"@Article{ garfinkle.ea2017-patternfinder,\n author = {Garfinkle, David and Arthur, Claire and Schubert, Peter\n and Cumming, Julie and Fujinaga, Ichiro},\n year = {2017},\n title = {PatternFinder: Content-Based Music Retrieval with\n music21},\n abstract = {Content-Based Music Retrieval (CBMR) for symbolic music\n aims to find all similar occurrences of a musical pattern\n within a larger database of symbolic music. To the best of\n our knowledge there does not currently exist a\n distributable CBMR software package integrated with a\n music analysis toolkit that facilitates extendability with\n new CBMR methods. This project presents a new MIR tool\n called \"PatternFinder\" satisfying these goals.\n PatternFinder is built with the computational musicology\n Python package music21, which provides a flexible platform\n capable of working with many music notation formats. To\n achieve polyphonic CBMR, we implement seven geometric\n algorithms developed at the University of Helsinki-four of\n which are being implemented and released publicly for the\n first time. The application of our MIR tool is then\n demonstrated through a musicological investigation of\n Renaissance imitation masses, which borrow melodic or\n contrapuntal material from a pre-existing musical work. In\n addition, we show Pattern-Finder's ability to find a\n contrapuntal pattern over a large dataset, Palestrina's\n 104 masses. Our investigations demonstrate the relevance\n of our tool for musicological research as well as its\n potential application for locating music within digital\n music libraries.},\n doi = {10.1145/3144749.3144751},\n isbn = {9781450353472},\n journal = {ACM International Conference Proceeding Series},\n keywords = {Content-based music retrieval,Imitation\n masses,Music21,Point-set similarity,Polyphonic\n search,Symbolic music\n similarity,Time-scaled,Time-warped,Transpositioninvariant,music\n information retrieval},\n mendeley-tags= {music information retrieval},\n number = {October},\n pages = {5--8}\n}\n\n","author_short":["Garfinkle, D.","Arthur, C.","Schubert, P.","Cumming, J.","Fujinaga, I."],"key":"garfinkle.ea2017-patternfinder","id":"garfinkle.ea2017-patternfinder","bibbaseid":"garfinkle-arthur-schubert-cumming-fujinaga-patternfindercontentbasedmusicretrievalwithmusic21-2017","role":"author","urls":{},"keyword":["Content-based music retrieval","Imitation masses","Music21","Point-set similarity","Polyphonic search","Symbolic music similarity","Time-scaled","Time-warped","Transpositioninvariant","music information retrieval"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"article","biburl":"https://hmb.sampaio.me/bibliografia.bib.txt","creationDate":"2019-11-04T12:45:42.772Z","downloads":0,"keywords":["content-based music retrieval","imitation masses","music21","point-set similarity","polyphonic search","symbolic music similarity","time-scaled","time-warped","transpositioninvariant","music information retrieval"],"search_terms":["patternfinder","content","based","music","retrieval","music21","garfinkle","arthur","schubert","cumming","fujinaga"],"title":"PatternFinder: Content-Based Music Retrieval with music21","year":2017,"dataSources":["n6MFY2CscQLDpJ7nT","RFLDZw5KyJdadDXDm"]}