Style-independent computer-assisted exploratory analysis of large music collections

Style-independent computer-assisted exploratory analysis of large music collections. McKay, C. & Fujinaga, I. Journal of Interdisciplinary Music Studies, 1(1):63–85, 2007.

Paper doi abstract bibtex

The first goal of this paper is to introduce musi- cologists and music theorists to the benefits of- fered by state-of-the-art pattern recognition tech- niques. The second goal is to provide them with a computer-based framework that can be used to study large and diverse collections of music for the purposes of empirically developing, explor- ing and validating theoretical models. The soft- ware presented in this paper implements tech- niques from the fields of machine learning, pat- tern recognition and data mining applied to and considered from the perspectives of music theory and musicology.

@Article{          mckay.ea2007-style-independent,
    author       = {McKay, Cory and Fujinaga, Ichiro},
    year         = {2007},
    title        = {Style-independent computer-assisted exploratory analysis
                   of large music collections},
    abstract     = {The first goal of this paper is to introduce musi-
                   cologists and music theorists to the benefits of- fered by
                   state-of-the-art pattern recognition tech- niques. The
                   second goal is to provide them with a computer-based
                   framework that can be used to study large and diverse
                   collections of music for the purposes of empirically
                   developing, explor- ing and validating theoretical models.
                   The soft- ware presented in this paper implements tech-
                   niques from the fields of machine learning, pat- tern
                   recognition and data mining applied to and considered from
                   the perspectives of music theory and musicology.},
    doi          = {10.1.1.149.7958},
    journal      = {Journal of Interdisciplinary Music Studies},
    keywords     = {music analysis with computers},
    mendeley-tags= {music analysis with computers},
    number       = {1},
    pages        = {63--85},
    url          = {http://www.musicstudies.org/spring2007.html},
    volume       = {1}
}

Downloads: 0

{"_id":"KojXxmvjjCiqFnpFf","bibbaseid":"mckay-fujinaga-styleindependentcomputerassistedexploratoryanalysisoflargemusiccollections-2007","authorIDs":[],"author_short":["McKay, C.","Fujinaga, I."],"bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["McKay"],"firstnames":["Cory"],"suffixes":[]},{"propositions":[],"lastnames":["Fujinaga"],"firstnames":["Ichiro"],"suffixes":[]}],"year":"2007","title":"Style-independent computer-assisted exploratory analysis of large music collections","abstract":"The first goal of this paper is to introduce musi- cologists and music theorists to the benefits of- fered by state-of-the-art pattern recognition tech- niques. The second goal is to provide them with a computer-based framework that can be used to study large and diverse collections of music for the purposes of empirically developing, explor- ing and validating theoretical models. The soft- ware presented in this paper implements tech- niques from the fields of machine learning, pat- tern recognition and data mining applied to and considered from the perspectives of music theory and musicology.","doi":"10.1.1.149.7958","journal":"Journal of Interdisciplinary Music Studies","keywords":"music analysis with computers","mendeley-tags":"music analysis with computers","number":"1","pages":"63–85","url":"http://www.musicstudies.org/spring2007.html","volume":"1","bibtex":"@Article{ mckay.ea2007-style-independent,\n author = {McKay, Cory and Fujinaga, Ichiro},\n year = {2007},\n title = {Style-independent computer-assisted exploratory analysis\n of large music collections},\n abstract = {The first goal of this paper is to introduce musi-\n cologists and music theorists to the benefits of- fered by\n state-of-the-art pattern recognition tech- niques. The\n second goal is to provide them with a computer-based\n framework that can be used to study large and diverse\n collections of music for the purposes of empirically\n developing, explor- ing and validating theoretical models.\n The soft- ware presented in this paper implements tech-\n niques from the fields of machine learning, pat- tern\n recognition and data mining applied to and considered from\n the perspectives of music theory and musicology.},\n doi = {10.1.1.149.7958},\n journal = {Journal of Interdisciplinary Music Studies},\n keywords = {music analysis with computers},\n mendeley-tags= {music analysis with computers},\n number = {1},\n pages = {63--85},\n url = {http://www.musicstudies.org/spring2007.html},\n volume = {1}\n}\n\n","author_short":["McKay, C.","Fujinaga, I."],"key":"mckay.ea2007-style-independent","id":"mckay.ea2007-style-independent","bibbaseid":"mckay-fujinaga-styleindependentcomputerassistedexploratoryanalysisoflargemusiccollections-2007","role":"author","urls":{"Paper":"http://www.musicstudies.org/spring2007.html"},"keyword":["music analysis with computers"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"article","biburl":"https://hmb.sampaio.me/bibliografia.bib.txt","creationDate":"2019-04-22T13:04:36.109Z","downloads":0,"keywords":["music analysis with computers"],"search_terms":["style","independent","computer","assisted","exploratory","analysis","large","music","collections","mckay","fujinaga"],"title":"Style-independent computer-assisted exploratory analysis of large music collections","year":2007,"dataSources":["n6MFY2CscQLDpJ7nT","RFLDZw5KyJdadDXDm"]}