{"id":"https://openalex.org/W4286375336","doi":"https://doi.org/10.1109/taslp.2022.3192664","title":"An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis","display_name":"An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4286375336","doi":"https://doi.org/10.1109/taslp.2022.3192664"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2022.3192664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2022.3192664","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2207.12743","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082127393","display_name":"Roberto San Mill\u00e1n-Castillo","orcid":"https://orcid.org/0000-0001-5821-9767"},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Roberto San Millan-Castillo","raw_affiliation_strings":["Department of Signal Theory, Communications, Universidad Rey Juan Carlos (URJC), Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0001-5821-9767","affiliations":[{"raw_affiliation_string":"Department of Signal Theory, Communications, Universidad Rey Juan Carlos (URJC), Madrid, Spain","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016290792","display_name":"Luca Martino","orcid":"https://orcid.org/0000-0002-7611-6558"},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Luca Martino","raw_affiliation_strings":["Department of Signal Theory, Communications, Universidad Rey Juan Carlos (URJC), Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0002-7611-6558","affiliations":[{"raw_affiliation_string":"Department of Signal Theory, Communications, Universidad Rey Juan Carlos (URJC), Madrid, Spain","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008276223","display_name":"Eduardo Morgado","orcid":"https://orcid.org/0000-0001-9243-409X"},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Eduardo Morgado","raw_affiliation_strings":["Department of Signal Theory, Communications, Universidad Rey Juan Carlos (URJC), Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0001-9243-409X","affiliations":[{"raw_affiliation_string":"Department of Signal Theory, Communications, Universidad Rey Juan Carlos (URJC), Madrid, Spain","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028779362","display_name":"Fernando Llorente","orcid":"https://orcid.org/0000-0003-4436-5709"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fernando Llorente","raw_affiliation_strings":["Department of Statistics, Universidad Carlos III de Madrid (UC3M), Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0003-4436-5709","affiliations":[{"raw_affiliation_string":"Department of Statistics, Universidad Carlos III de Madrid (UC3M), Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6393,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.92666048,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"30","issue":null,"first_page":"2460","last_page":"2474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11692","display_name":"Noise Effects and Management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11692","display_name":"Noise Effects and Management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9936000108718872,"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/soundscape","display_name":"Soundscape","score":0.8710665702819824},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5780381560325623},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5642860531806946},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.539899468421936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5145837664604187},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4674426317214966},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4457724392414093},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.44501200318336487},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4266696274280548},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4192074239253998},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40502995252609253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3953803777694702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37133121490478516},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33602631092071533},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3168447017669678},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.253237247467041},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.15839096903800964},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08046692609786987}],"concepts":[{"id":"https://openalex.org/C142795923","wikidata":"https://www.wikidata.org/wiki/Q1358257","display_name":"Soundscape","level":3,"score":0.8710665702819824},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5780381560325623},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5642860531806946},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.539899468421936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5145837664604187},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4674426317214966},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4457724392414093},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.44501200318336487},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4266696274280548},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4192074239253998},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40502995252609253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3953803777694702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37133121490478516},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33602631092071533},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3168447017669678},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.253237247467041},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.15839096903800964},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08046692609786987},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/taslp.2022.3192664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2022.3192664","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2207.12743","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.12743","pdf_url":"https://arxiv.org/pdf/2207.12743","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:eciencia.urjc.es:10115/28704","is_oa":false,"landing_page_url":"https://hdl.handle.net/10115/28704","pdf_url":null,"source":{"id":"https://openalex.org/S4377196484","display_name":"BURJC Digital (King Juan Carlos University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I182083151","host_organization_name":"Universidad Rey Juan Carlos","host_organization_lineage":["https://openalex.org/I182083151"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2207.12743","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.12743","pdf_url":"https://arxiv.org/pdf/2207.12743","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G8282631658","display_name":null,"funder_award_id":"PID2019-105032GB-I00","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W128363437","https://openalex.org/W1500470240","https://openalex.org/W1814500939","https://openalex.org/W1966360794","https://openalex.org/W1990396430","https://openalex.org/W1996881001","https://openalex.org/W2028510317","https://openalex.org/W2041853867","https://openalex.org/W2057765075","https://openalex.org/W2086021283","https://openalex.org/W2120687203","https://openalex.org/W2149628368","https://openalex.org/W2168175751","https://openalex.org/W2282503792","https://openalex.org/W2317866228","https://openalex.org/W2334348844","https://openalex.org/W2521143023","https://openalex.org/W2553584900","https://openalex.org/W2606199256","https://openalex.org/W2625220384","https://openalex.org/W2740047476","https://openalex.org/W2782176193","https://openalex.org/W2786498952","https://openalex.org/W2793462399","https://openalex.org/W2794701652","https://openalex.org/W2808537763","https://openalex.org/W2898727580","https://openalex.org/W2947511526","https://openalex.org/W2968882881","https://openalex.org/W3000534101","https://openalex.org/W3031418291","https://openalex.org/W3042478219","https://openalex.org/W3049708135","https://openalex.org/W3105029317","https://openalex.org/W3138139790","https://openalex.org/W3145343416","https://openalex.org/W3185760411","https://openalex.org/W3206536277","https://openalex.org/W6696886941","https://openalex.org/W6746278845","https://openalex.org/W6803622957"],"related_works":["https://openalex.org/W1254698036","https://openalex.org/W2896201871","https://openalex.org/W1988083194","https://openalex.org/W2282503792","https://openalex.org/W2970126706","https://openalex.org/W2365709658","https://openalex.org/W2747085439","https://openalex.org/W1562588264","https://openalex.org/W1593731728","https://openalex.org/W2770198033"],"abstract_inverted_index":{"In":[0],"the":[1,9,20,53,66,94,110,140,153,157,184,189],"last":[2],"decade,":[3],"soundscapes":[4,67,82],"have":[5,101,122,147],"become":[6],"one":[7],"of":[8,65,96,118,139,142,166,177],"most":[10],"active":[11,50],"topics":[12],"in":[13,52],"Acoustics,":[14],"providing":[15],"a":[16,48,63,70,115,124,133,164,215],"holistic":[17],"approach":[18],"to":[19,39,69],"acoustic":[21],"environment,":[22],"which":[23,131],"involves":[24],"human":[25],"perception":[26],"and":[27,33,36,85,90,136,173,180,193,203,209],"context.":[28],"Soundscapes-elicited":[29],"emotions":[30],"are":[31,98],"central":[32],"substantially":[34],"subtle":[35],"unnoticed":[37],"(compared":[38],"speech":[40],"or":[41],"music).":[42],"Currently,":[43],"soundscape":[44,77],"emotion":[45,78],"recognition":[46],"is":[47],"very":[49,201],"topic":[51],"literature.":[54],"We":[55,74,100],"provide":[56,200],"an":[57,104],"exhaustive":[58],"variable":[59],"selection":[60,64],"study":[61],"(i.e.,":[62],"indicators)":[68],"well-known":[71],"dataset":[72],"(emo-soundscapes).":[73],"consider":[75],"linear":[76,175,198],"models":[79,176,199],"for":[80,92,108,188],"two":[81,171,190],"descriptors:":[83],"arousal":[84],"valence.":[86],"Several":[87],"ranking":[88],"schemes":[89],"procedures":[91],"selecting":[93],"number":[95,117],"variables":[97,182],"applied.":[99],"also":[102,148],"performed":[103],"alternating":[105],"optimization":[106],"scheme":[107],"obtaining":[109],"best":[111],"sequences":[112],"keeping":[113],"fixed":[114],"certain":[116],"features.":[119],"Furthermore,":[120],"we":[121,146,169],"designed":[123],"novel":[125],"technique":[126],"based":[127,160],"on":[128,161],"Gibbs":[129],"sampling,":[130],"provides":[132],"more":[134],"complete":[135],"clear":[137],"view":[138],"relevance":[141],"each":[143],"variable.":[144],"Finally,":[145],"compared":[149],"our":[150,167],"results":[151],"with":[152,206],"analysis":[154],"obtained":[155,213],"by":[156],"classical":[158],"methods":[159],"p-values.":[162],"As":[163],"result":[165],"study,":[168],"suggest":[170],"simple":[172],"parsimonious":[174],"only":[178],"7":[179],"16":[181],"(within":[183],"122":[185],"possible":[186],"features)":[187],"outputs":[191],"(arousal":[192],"valence),":[194],"respectively.":[195,218],"The":[196],"suggested":[197],"good":[202],"competitive":[204],"performance,":[205],"<inline-formula><tex-math":[207,210],"notation=\"LaTeX\">$R^{2}&gt;0.86$</tex-math></inline-formula>":[208],"notation=\"LaTeX\">$R^{2}&gt;0.63$</tex-math></inline-formula>":[211],"(values":[212],"after":[214],"cross-validation":[216],"procedure),":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2022-07-21T00:00:00"}
