@Article{          bisesi.ea2019-computational,
    author       = {Bisesi, Erica and Friberg, Anders and Parncutt, Richard},
    year         = {2019},
    title        = {A Computational Model of Immanent Accent Salience in
                   Tonal Music},
    abstract     = {We describe the first stage of a two-stage semi-
                   algorithmic approach to music performance rendering. In
                   the first stage, we estimate the perceptual salience of
                   immanent accents (phrasing, metrical, melodic, harmon- ic)
                   in the musical score. In the second, we manipulate timing,
                   dynamics and other performance parameters in the vicinity
                   of immanent accents (e. g., getting slower and/or louder
                   near an accent). Phrasing and metrical accents emerge from
                   the hierarchical structure of phras- ing and meter; their
                   salience depends on the hierarchical levels that they
                   demarcate, and their salience. Melodic accents follow
                   melodic leaps; they are strongest at con- tour peaks and
                   (to a lesser extent) valleys; and their sali- ence depends
                   on the leap interval and the distance of the target tone
                   from the local mean pitch. Harmonic accents depend on
                   local dissonance (roughness, non-harmonicity,
                   non-diatonicity) and chord/key changes. The algorithm is
                   under development and is being tested by comparing its
                   predictions with music analyses, recorded performances and
                   listener evaluations. 1.},
    address      = {Stockolm, Sweden},
    doi          = {10.3389/fpsyg.2019.00317},
    issn         = {1664-1078},
    journal      = {Frontiers in Psychology},
    keywords     = {Computational modeling,Immanent accents,Music
                   analysis,Music expression,Salience,computational
                   musicology,music analysis with computers},
    mendeley-tags= {computational musicology,music analysis with computers},
    month        = {mar},
    pages        = {1--19},
    url          = {https://www.frontiersin.org/article/10.3389/fpsyg.2019.00317/full},
    volume       = {10}
}

{"_id":"7DkcqhxM9H7g37Cck","bibbaseid":"bisesi-friberg-parncutt-acomputationalmodelofimmanentaccentsalienceintonalmusic-2019","authorIDs":[],"author_short":["Bisesi, E.","Friberg, A.","Parncutt, R."],"bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["Bisesi"],"firstnames":["Erica"],"suffixes":[]},{"propositions":[],"lastnames":["Friberg"],"firstnames":["Anders"],"suffixes":[]},{"propositions":[],"lastnames":["Parncutt"],"firstnames":["Richard"],"suffixes":[]}],"year":"2019","title":"A Computational Model of Immanent Accent Salience in Tonal Music","abstract":"We describe the first stage of a two-stage semi- algorithmic approach to music performance rendering. In the first stage, we estimate the perceptual salience of immanent accents (phrasing, metrical, melodic, harmon- ic) in the musical score. In the second, we manipulate timing, dynamics and other performance parameters in the vicinity of immanent accents (e. g., getting slower and/or louder near an accent). Phrasing and metrical accents emerge from the hierarchical structure of phras- ing and meter; their salience depends on the hierarchical levels that they demarcate, and their salience. Melodic accents follow melodic leaps; they are strongest at con- tour peaks and (to a lesser extent) valleys; and their sali- ence depends on the leap interval and the distance of the target tone from the local mean pitch. Harmonic accents depend on local dissonance (roughness, non-harmonicity, non-diatonicity) and chord/key changes. 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In\n the first stage, we estimate the perceptual salience of\n immanent accents (phrasing, metrical, melodic, harmon- ic)\n in the musical score. In the second, we manipulate timing,\n dynamics and other performance parameters in the vicinity\n of immanent accents (e. g., getting slower and/or louder\n near an accent). Phrasing and metrical accents emerge from\n the hierarchical structure of phras- ing and meter; their\n salience depends on the hierarchical levels that they\n demarcate, and their salience. Melodic accents follow\n melodic leaps; they are strongest at con- tour peaks and\n (to a lesser extent) valleys; and their sali- ence depends\n on the leap interval and the distance of the target tone\n from the local mean pitch. Harmonic accents depend on\n local dissonance (roughness, non-harmonicity,\n non-diatonicity) and chord/key changes. The algorithm is\n under development and is being tested by comparing its\n predictions with music analyses, recorded performances and\n listener evaluations. 1.},\n address = {Stockolm, Sweden},\n doi = {10.3389/fpsyg.2019.00317},\n issn = {1664-1078},\n journal = {Frontiers in Psychology},\n keywords = {Computational modeling,Immanent accents,Music\n analysis,Music expression,Salience,computational\n musicology,music analysis with computers},\n mendeley-tags= {computational musicology,music analysis with computers},\n month = {mar},\n pages = {1--19},\n url = {https://www.frontiersin.org/article/10.3389/fpsyg.2019.00317/full},\n volume = {10}\n}\n\n","author_short":["Bisesi, E.","Friberg, A.","Parncutt, R."],"key":"bisesi.ea2019-computational","id":"bisesi.ea2019-computational","bibbaseid":"bisesi-friberg-parncutt-acomputationalmodelofimmanentaccentsalienceintonalmusic-2019","role":"author","urls":{"Paper":"https://www.frontiersin.org/article/10.3389/fpsyg.2019.00317/full"},"keyword":["Computational modeling","Immanent accents","Music analysis","Music expression","Salience","computational musicology","music analysis with computers"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"article","biburl":"https://hmb.sampaio.me/bibliografia.bib.txt","creationDate":"2020-11-05T01:26:51.431Z","downloads":0,"keywords":["computational modeling","immanent accents","music analysis","music expression","salience","computational musicology","music analysis with computers"],"search_terms":["computational","model","immanent","accent","salience","tonal","music","bisesi","friberg","parncutt"],"title":"A Computational Model of Immanent Accent Salience in Tonal Music","year":2019,"dataSources":["n6MFY2CscQLDpJ7nT"]}