{"id":"https://openalex.org/W2158580452","doi":"https://doi.org/10.1109/icassp.2011.5946372","title":"Modeling musical attributes to characterize ensemble recordings using rhythmic audio features","display_name":"Modeling musical attributes to characterize ensemble recordings using rhythmic audio features","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2158580452","doi":"https://doi.org/10.1109/icassp.2011.5946372","mag":"2158580452"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047532715","display_name":"Jakob Abe\u00dfer","orcid":"https://orcid.org/0000-0003-4689-7944"},"institutions":[{"id":"https://openalex.org/I4210138578","display_name":"Fraunhofer Institute for Digital Media Technology","ror":"https://ror.org/04gp0yb49","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210138578","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jakob Abesser","raw_affiliation_strings":["Fraunhofer IDMT, Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IDMT, Ilmenau, Germany","institution_ids":["https://openalex.org/I4210138578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032798767","display_name":"Olivier Lartillot","orcid":"https://orcid.org/0000-0001-6129-686X"},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Olivier Lartillot","raw_affiliation_strings":["Finnish Centre of Excellence in Interdisciplinary Music Research, University of Jyv\u00e4skyl\u00e4, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Finnish Centre of Excellence in Interdisciplinary Music Research, University of Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009881719","display_name":"Christian Dittmar","orcid":"https://orcid.org/0000-0002-3220-2446"},"institutions":[{"id":"https://openalex.org/I4210138578","display_name":"Fraunhofer Institute for Digital Media Technology","ror":"https://ror.org/04gp0yb49","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210138578","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Dittmar","raw_affiliation_strings":["Fraunhofer IDMT, Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IDMT, Ilmenau, Germany","institution_ids":["https://openalex.org/I4210138578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039535349","display_name":"Tuomas Eerola","orcid":"https://orcid.org/0000-0002-2896-929X"},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tuomas Eerola","raw_affiliation_strings":["Finnish Centre of Excellence in Interdisciplinary Music Research, University of Jyv\u00e4skyl\u00e4, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Finnish Centre of Excellence in Interdisciplinary Music Research, University of Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087435726","display_name":"Gerald Schuller","orcid":"https://orcid.org/0000-0003-0591-4365"},"institutions":[{"id":"https://openalex.org/I4210138578","display_name":"Fraunhofer Institute for Digital Media Technology","ror":"https://ror.org/04gp0yb49","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210138578","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerald Schuller","raw_affiliation_strings":["Fraunhofer IDMT, Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IDMT, Ilmenau, Germany","institution_ids":["https://openalex.org/I4210138578"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9363,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76475186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"17","issue":null,"first_page":"189","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"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":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9969000220298767,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.7116276025772095},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6779482960700989},{"id":"https://openalex.org/keywords/rhythm","display_name":"Rhythm","score":0.658522367477417},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5939023494720459},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5859715938568115},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.5179742574691772},{"id":"https://openalex.org/keywords/music-information-retrieval","display_name":"Music information retrieval","score":0.47013717889785767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4658549427986145},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.44736409187316895},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.42675432562828064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.422863245010376},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42077112197875977},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.41527557373046875},{"id":"https://openalex.org/keywords/musical","display_name":"Musical","score":0.39923030138015747},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33253243565559387},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.11516153812408447},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.060215920209884644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7116276025772095},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6779482960700989},{"id":"https://openalex.org/C135343436","wikidata":"https://www.wikidata.org/wiki/Q170406","display_name":"Rhythm","level":2,"score":0.658522367477417},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5939023494720459},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5859715938568115},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.5179742574691772},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.47013717889785767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4658549427986145},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.44736409187316895},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.42675432562828064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.422863245010376},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42077112197875977},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.41527557373046875},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.39923030138015747},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33253243565559387},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.11516153812408447},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.060215920209884644},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2011.5946372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/373807","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/373807","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W69165026","https://openalex.org/W207683342","https://openalex.org/W2014495794","https://openalex.org/W2062385550","https://openalex.org/W2130171246","https://openalex.org/W2164498268","https://openalex.org/W2295507587","https://openalex.org/W2502852798","https://openalex.org/W2943021592","https://openalex.org/W6602748263","https://openalex.org/W6608508128","https://openalex.org/W6725043014","https://openalex.org/W7015700532"],"related_works":["https://openalex.org/W2289868279","https://openalex.org/W4231351862","https://openalex.org/W4212794605","https://openalex.org/W4315836293","https://openalex.org/W4243888788","https://openalex.org/W2769884427","https://openalex.org/W2088690926","https://openalex.org/W2157165686","https://openalex.org/W2371215329","https://openalex.org/W1975359510"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,47],"present":[4],"the":[5,27,51,61,103],"results":[6],"of":[7,14,29,53,57,80,102],"a":[8,22,54],"pre-study":[9],"on":[10,89],"music":[11,23],"performance":[12],"analysis":[13],"ensemble":[15,42],"music.":[16],"Our":[17,65],"aim":[18],"is":[19,50,67],"to":[20,34,39,68,74],"implement":[21],"classification":[24],"system":[25],"for":[26,32,77,100],"description":[28],"live":[30],"recordings,":[31],"instance":[33],"help":[35],"musicologist":[36],"and":[37,73],"musicians":[38],"analyze":[40],"improvised":[41],"performances.":[43],"The":[44,86],"main":[45],"problem":[46],"deal":[48],"with":[49],"extraction":[52],"suitable":[55],"set":[56],"audio":[58,71],"features":[59,72],"from":[60],"recorded":[62],"instrument":[63],"tracks.":[64],"approach":[66],"extract":[69],"rhythm-related":[70],"apply":[75],"them":[76],"regression-based":[78],"modeling":[79],"eight":[81,104],"more":[82],"general":[83],"musical":[84],"attributes.":[85,105],"model":[87],"based":[88],"Partial":[90],"Least-Squares":[91],"Regression":[92],"without":[93],"preceding":[94],"Principal":[95],"Component":[96],"Analysis":[97],"performed":[98],"best":[99],"all":[101]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
