{"id":"https://openalex.org/W2592549691","doi":"https://doi.org/10.1007/s10994-017-5631-y","title":"An evaluation of linear and non-linear models of expressive dynamics in classical piano and symphonic music","display_name":"An evaluation of linear and non-linear models of expressive dynamics in classical piano and symphonic music","publication_year":2017,"publication_date":"2017-03-09","ids":{"openalex":"https://openalex.org/W2592549691","doi":"https://doi.org/10.1007/s10994-017-5631-y","mag":"2592549691","pmid":"https://pubmed.ncbi.nlm.nih.gov/32063665"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-017-5631-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-017-5631-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-017-5631-y.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-017-5631-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062774572","display_name":"Carlos Cancino-Chac\u00f3n","orcid":"https://orcid.org/0000-0001-5770-7005"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]},{"id":"https://openalex.org/I161878677","display_name":"Austrian Research Institute for Artificial Intelligence","ror":"https://ror.org/04j47vk14","country_code":"AT","type":"facility","lineage":["https://openalex.org/I161878677","https://openalex.org/I4210107880"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Carlos Eduardo Cancino-Chac\u00f3n","raw_affiliation_strings":["1Austrian Research Institute for Artificial Intelligence, Vienna, Austria","2Department of Computational Perception, Johannes Kepler University, Linz, Austria","Austrian Research Institute for Artificial Intelligence, Vienna, Austria"],"raw_orcid":"https://orcid.org/0000-0001-5770-7005","affiliations":[{"raw_affiliation_string":"1Austrian Research Institute for Artificial Intelligence, Vienna, Austria","institution_ids":["https://openalex.org/I161878677"]},{"raw_affiliation_string":"2Department of Computational Perception, Johannes Kepler University, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]},{"raw_affiliation_string":"Austrian Research Institute for Artificial Intelligence, Vienna, Austria","institution_ids":["https://openalex.org/I161878677"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068403727","display_name":"Thassilo Gadermaier","orcid":"https://orcid.org/0000-0001-9382-6300"},"institutions":[{"id":"https://openalex.org/I161878677","display_name":"Austrian Research Institute for Artificial Intelligence","ror":"https://ror.org/04j47vk14","country_code":"AT","type":"facility","lineage":["https://openalex.org/I161878677","https://openalex.org/I4210107880"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thassilo Gadermaier","raw_affiliation_strings":["1Austrian Research Institute for Artificial Intelligence, Vienna, Austria","Austrian Research Institute for Artificial Intelligence, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Austrian Research Institute for Artificial Intelligence, Vienna, Austria","institution_ids":["https://openalex.org/I161878677"]},{"raw_affiliation_string":"Austrian Research Institute for Artificial Intelligence, Vienna, Austria","institution_ids":["https://openalex.org/I161878677"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003768123","display_name":"Gerhard Widmer","orcid":"https://orcid.org/0000-0003-3531-1282"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]},{"id":"https://openalex.org/I161878677","display_name":"Austrian Research Institute for Artificial Intelligence","ror":"https://ror.org/04j47vk14","country_code":"AT","type":"facility","lineage":["https://openalex.org/I161878677","https://openalex.org/I4210107880"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Gerhard Widmer","raw_affiliation_strings":["1Austrian Research Institute for Artificial Intelligence, Vienna, Austria","2Department of Computational Perception, Johannes Kepler University, Linz, Austria","Austrian Research Institute for Artificial Intelligence, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Austrian Research Institute for Artificial Intelligence, Vienna, Austria","institution_ids":["https://openalex.org/I161878677"]},{"raw_affiliation_string":"2Department of Computational Perception, Johannes Kepler University, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]},{"raw_affiliation_string":"Austrian Research Institute for Artificial Intelligence, Vienna, Austria","institution_ids":["https://openalex.org/I161878677"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050343712","display_name":"Maarten Grachten","orcid":"https://orcid.org/0000-0002-9488-0840"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]},{"id":"https://openalex.org/I161878677","display_name":"Austrian Research Institute for Artificial Intelligence","ror":"https://ror.org/04j47vk14","country_code":"AT","type":"facility","lineage":["https://openalex.org/I161878677","https://openalex.org/I4210107880"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Maarten Grachten","raw_affiliation_strings":["1Austrian Research Institute for Artificial Intelligence, Vienna, Austria","2Department of Computational Perception, Johannes Kepler University, Linz, Austria","Austrian Research Institute for Artificial Intelligence, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Austrian Research Institute for Artificial Intelligence, Vienna, Austria","institution_ids":["https://openalex.org/I161878677"]},{"raw_affiliation_string":"2Department of Computational Perception, Johannes Kepler University, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]},{"raw_affiliation_string":"Austrian Research Institute for Artificial Intelligence, Vienna, Austria","institution_ids":["https://openalex.org/I161878677"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062774572"],"corresponding_institution_ids":["https://openalex.org/I121883995","https://openalex.org/I161878677"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.8668,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.86562884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"106","issue":"6","first_page":"887","last_page":"909"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10788","display_name":"Neuroscience and Music Perception","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/piano","display_name":"Piano","score":0.8005127906799316},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.605186939239502},{"id":"https://openalex.org/keywords/symphony","display_name":"Symphony","score":0.6002437472343445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5427444577217102},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.5352243781089783},{"id":"https://openalex.org/keywords/musical-expression","display_name":"Musical expression","score":0.5339189171791077},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44665712118148804},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4409897029399872},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4160485565662384},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.41371285915374756},{"id":"https://openalex.org/keywords/classical-music","display_name":"Classical music","score":0.4128098487854004},{"id":"https://openalex.org/keywords/musical","display_name":"Musical","score":0.359555184841156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.338547021150589},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22168996930122375},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09967336058616638},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.06783011555671692}],"concepts":[{"id":"https://openalex.org/C124086623","wikidata":"https://www.wikidata.org/wiki/Q5994","display_name":"Piano","level":2,"score":0.8005127906799316},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.605186939239502},{"id":"https://openalex.org/C16277566","wikidata":"https://www.wikidata.org/wiki/Q9734","display_name":"Symphony","level":2,"score":0.6002437472343445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5427444577217102},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.5352243781089783},{"id":"https://openalex.org/C2779685156","wikidata":"https://www.wikidata.org/wiki/Q6942545","display_name":"Musical expression","level":3,"score":0.5339189171791077},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44665712118148804},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4409897029399872},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4160485565662384},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.41371285915374756},{"id":"https://openalex.org/C542929976","wikidata":"https://www.wikidata.org/wiki/Q9730","display_name":"Classical music","level":3,"score":0.4128098487854004},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.359555184841156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.338547021150589},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22168996930122375},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09967336058616638},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.06783011555671692},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s10994-017-5631-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-017-5631-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-017-5631-y.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmid:32063665","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32063665","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine learning","raw_type":null},{"id":"pmh:oai:epub.jku.at/:3467244","is_oa":true,"landing_page_url":"https://epub.jku.at/doi/10.1007/s10994-017-5631-y","pdf_url":null,"source":{"id":"https://openalex.org/S4306401788","display_name":"University Library Linz repository (Johannes Kepler Universitat Linz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I121883995","host_organization_name":"Johannes Kepler University of Linz","host_organization_lineage":["https://openalex.org/I121883995"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:europepmc.org:5963514","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6994224","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10994-017-5631-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-017-5631-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-017-5631-y.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1261784076","display_name":"Getting at the Heart of Things: Towards Expressivity-aware Computer Systems in Music","funder_award_id":"670035","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G1833903074","display_name":null,"funder_award_id":"K40 GPU","funder_id":"https://openalex.org/F4320309480","funder_display_name":"Nvidia"},{"id":"https://openalex.org/G2010355708","display_name":null,"funder_award_id":"Tesla K40 GPU","funder_id":"https://openalex.org/F4320309480","funder_display_name":"Nvidia"},{"id":"https://openalex.org/G3410109560","display_name":null,"funder_award_id":"670035","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"},{"id":"https://openalex.org/G4818637054","display_name":null,"funder_award_id":"670035","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G4985140608","display_name":null,"funder_award_id":"610859","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5801408398","display_name":null,"funder_award_id":"Tesla K40","funder_id":"https://openalex.org/F4320309480","funder_display_name":"Nvidia"},{"id":"https://openalex.org/G6347642791","display_name":null,"funder_award_id":"610859","funder_id":"https://openalex.org/F4320334960","funder_display_name":"Seventh Framework Programme"},{"id":"https://openalex.org/G7584082387","display_name":null,"funder_award_id":"project Lrn2Cre8","funder_id":"https://openalex.org/F4320334960","funder_display_name":"Seventh Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"},{"id":"https://openalex.org/F4320334960","display_name":"Seventh Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2592549691.pdf","grobid_xml":"https://content.openalex.org/works/W2592549691.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W10364248","https://openalex.org/W72564976","https://openalex.org/W1500641591","https://openalex.org/W1506806321","https://openalex.org/W1540224544","https://openalex.org/W1663973292","https://openalex.org/W1686884809","https://openalex.org/W1810943226","https://openalex.org/W1815076433","https://openalex.org/W1970183352","https://openalex.org/W1974474175","https://openalex.org/W1974739246","https://openalex.org/W1983886273","https://openalex.org/W1987905533","https://openalex.org/W1993541332","https://openalex.org/W1993800166","https://openalex.org/W1997948862","https://openalex.org/W2001283902","https://openalex.org/W2006657628","https://openalex.org/W2009086942","https://openalex.org/W2014644370","https://openalex.org/W2014989086","https://openalex.org/W2017357066","https://openalex.org/W2028080146","https://openalex.org/W2029996705","https://openalex.org/W2038328044","https://openalex.org/W2042283011","https://openalex.org/W2046068451","https://openalex.org/W2051721810","https://openalex.org/W2064675550","https://openalex.org/W2065323629","https://openalex.org/W2067607134","https://openalex.org/W2088765131","https://openalex.org/W2095705004","https://openalex.org/W2101464305","https://openalex.org/W2131774270","https://openalex.org/W2133665775","https://openalex.org/W2138996920","https://openalex.org/W2139686198","https://openalex.org/W2140430000","https://openalex.org/W2149085703","https://openalex.org/W2157887878","https://openalex.org/W2164498268","https://openalex.org/W2249612659","https://openalex.org/W2406388223","https://openalex.org/W2565932543","https://openalex.org/W2572594408","https://openalex.org/W2736275243","https://openalex.org/W2786672840","https://openalex.org/W4256335954","https://openalex.org/W4256689234","https://openalex.org/W6629510986","https://openalex.org/W6637341591"],"related_works":["https://openalex.org/W4388256602","https://openalex.org/W2359442064","https://openalex.org/W2389025028","https://openalex.org/W2381800597","https://openalex.org/W4205667329","https://openalex.org/W4281717227","https://openalex.org/W3154874009","https://openalex.org/W3116527621","https://openalex.org/W2159921319","https://openalex.org/W4213132852"],"abstract_inverted_index":{"Expressive":[0],"interpretation":[1],"forms":[2],"an":[3,30],"important":[4],"but":[5],"complex":[6],"aspect":[7],"of":[8,24,33,44,83,88,94,100,130,140,148],"music,":[9],"particularly":[10],"in":[11,58,69,102,113,153],"Western":[12],"classical":[13,59],"music.":[14,126,149],"Modeling":[15],"the":[16,25,45,63,81,103,128,135],"relation":[17],"between":[18,163],"musical":[19,104,141],"expression":[20,142],"and":[21,50,85,109,124],"structural":[22],"aspects":[23],"score":[26,46],"being":[27,156],"performed":[28],"is":[29,134],"ongoing":[31],"line":[32],"research.":[34],"Prior":[35],"work":[36],"has":[37],"shown":[38],"that":[39,96,166],"some":[40],"simple":[41,72],"numerical":[42,164],"descriptors":[43,95,165],"(capturing":[47],"dynamics":[48,57],"annotations":[49],"pitch)":[51],"are":[52,143],"effective":[53],"for":[54],"predicting":[55],"expressive":[56,89],"piano":[60,123],"performances.":[61],"Nevertheless,":[62],"features":[64],"have":[65],"only":[66],"been":[67],"tested":[68],"a":[70,92,114],"very":[71],"linear":[73,108,167],"regression":[74],"model.":[75],"In":[76],"this":[77,133],"work,":[78],"we":[79,106],"explore":[80],"potential":[82],"non-linear":[84,111,159],"temporal":[86],"modeling":[87],"dynamics.":[90],"Using":[91],"set":[93],"capture":[97],"different":[98,110,119],"types":[99,147],"structure":[101],"score,":[105],"compare":[107],"models":[112,139,160,168],"large-scale":[115],"evaluation":[116],"on":[117,145],"three":[118],"corpora,":[120],"involving":[121],"both":[122,146],"orchestral":[125],"To":[127],"best":[129],"our":[131],"knowledge,":[132],"first":[136],"study":[137],"where":[138],"evaluated":[144],"We":[150],"show":[151],"that,":[152],"addition":[154],"to":[155],"more":[157],"accurate,":[158],"describe":[161],"interactions":[162],"do":[169],"not.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2025-10-10T00:00:00"}
