{"id":"https://openalex.org/W2402288201","doi":"https://doi.org/10.1109/icassp.2016.7471735","title":"SVR based double-scale regression for dynamic emotion prediction in music","display_name":"SVR based double-scale regression for dynamic emotion prediction in music","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2402288201","doi":"https://doi.org/10.1109/icassp.2016.7471735","mag":"2402288201"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7471735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5060610398","display_name":"Haishu Xianyu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haishu Xianyu","raw_affiliation_strings":["Department of Computer Science and Technology, Ministry of Education Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ministry of Education Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101733708","display_name":"Xinxing Li","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxing Li","raw_affiliation_strings":["Department of Computer Science and Technology, Ministry of Education Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ministry of Education Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030501342","display_name":"Wenxiao Chen","orcid":"https://orcid.org/0000-0001-8852-675X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxiao Chen","raw_affiliation_strings":["Department of Computer Science and Technology, Ministry of Education Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ministry of Education Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054216481","display_name":"Fanhang Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanhang Meng","raw_affiliation_strings":["Department of Computer Science and Technology, Ministry of Education Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ministry of Education Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080684640","display_name":"Jiashen Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiashen Tian","raw_affiliation_strings":["Department of Computer Science and Technology, Ministry of Education Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ministry of Education Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111983309","display_name":"Mingxing Xu","orcid":"https://orcid.org/0009-0000-3878-315X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxing Xu","raw_affiliation_strings":["Department of Computer Science and Technology, Ministry of Education Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ministry of Education Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053661520","display_name":"Lianhong Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianhong Cai","raw_affiliation_strings":["Department of Computer Science and Technology, Ministry of Education Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ministry of Education Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5060610398"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.7653,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.85566274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"549","last_page":"553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9575999975204468,"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"}},{"id":"https://openalex.org/T13996","display_name":"Diverse Musicological Studies","score":0.9398999810218811,"subfield":{"id":"https://openalex.org/subfields/1210","display_name":"Music"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.70612633228302},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6376953721046448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6356289386749268},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.6330572366714478},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5622872710227966},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5162465572357178},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42907026410102844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4031280279159546},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32718759775161743},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19641447067260742},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11708015203475952},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08714398741722107}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.70612633228302},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6376953721046448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6356289386749268},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.6330572366714478},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5622872710227966},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5162465572357178},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42907026410102844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4031280279159546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32718759775161743},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19641447067260742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11708015203475952},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08714398741722107},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7471735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2082927806","https://openalex.org/W2090775486","https://openalex.org/W2136129419","https://openalex.org/W2137226992","https://openalex.org/W2144005487","https://openalex.org/W2162950007","https://openalex.org/W2185845146","https://openalex.org/W2295276533","https://openalex.org/W2295652995","https://openalex.org/W2296267742","https://openalex.org/W2341090665","https://openalex.org/W2400268313","https://openalex.org/W2401248876","https://openalex.org/W2403697441","https://openalex.org/W2406407074","https://openalex.org/W2566129194","https://openalex.org/W2916566921","https://openalex.org/W6686053107","https://openalex.org/W6697138395","https://openalex.org/W6697249138","https://openalex.org/W6697708723","https://openalex.org/W6713893959","https://openalex.org/W6730652852"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W3126677997","https://openalex.org/W1610857240"],"abstract_inverted_index":{"Dynamic":[0],"music":[1,21,35,83],"emotion":[2,9,22,33,56,92],"prediction":[3],"is":[4,24],"to":[5,65,79,103],"recognize":[6,81],"the":[7,28,32,45,66,82,101,118],"continuous":[8],"contained":[10],"in":[11,34,107],"music,":[12],"and":[13,53,95,110],"has":[14],"various":[15],"applications.":[16],"In":[17],"recent":[18],"years,":[19],"dynamic":[20,57],"recognition":[23],"widely":[25],"studied,":[26],"while":[27],"inside":[29],"structure":[30],"of":[31,91],"remains":[36],"unclear.":[37],"We":[38,99],"conduct":[39],"a":[40,71],"data":[41,67],"observation":[42],"based":[43],"on":[44],"database":[46],"provided":[47,120],"by":[48,121],"Free":[49],"Music":[50,108],"Archive":[51],"(FMA),":[52],"find":[54],"that":[55],"shows":[58],"different":[59,62],"properties":[60],"under":[61],"scales.":[63],"According":[64],"observation,":[68],"we":[69],"propose":[70],"new":[72,86],"method,":[73],"Double-scale":[74],"Support":[75],"Vector":[76],"Regression":[77],"(DS-SVR),":[78],"dynamically":[80],"emotion.":[84],"The":[85],"method":[87],"decouples":[88],"two":[89],"scales":[90],"dynamics":[93],"apart,":[94],"recognizes":[96],"them":[97],"separately.":[98],"apply":[100],"DS-SVR":[102],"MediaEval":[104],"2015,":[105],"Emotion":[106],"database,":[109],"achieve":[111],"an":[112],"outstanding":[113],"performance,":[114],"significantly":[115],"better":[116],"than":[117],"baseline":[119],"organizer.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
