{"id":"https://openalex.org/W4387010441","doi":"https://doi.org/10.1109/access.2023.3318751","title":"FF-BTP Model for Novel Sound-Based Community Emotion Detection","display_name":"FF-BTP Model for Novel Sound-Based Community Emotion Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387010441","doi":"https://doi.org/10.1109/access.2023.3318751"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3318751","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3318751","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10262006.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10262006.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065941630","display_name":"Arif Metehan Y\u0131ld\u0131z","orcid":"https://orcid.org/0000-0003-0451-8600"},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Arif Metehan Yildiz","raw_affiliation_strings":["Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-0451-8600","affiliations":[{"raw_affiliation_string":"Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig, Turkey","institution_ids":["https://openalex.org/I143396566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026432238","display_name":"Masayuki Tanabe","orcid":"https://orcid.org/0000-0002-5197-1339"},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Masayuki Tanabe","raw_affiliation_strings":["Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-5197-1339","affiliations":[{"raw_affiliation_string":"Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig, Turkey","institution_ids":["https://openalex.org/I143396566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040448774","display_name":"Makiko Kobayashi","orcid":"https://orcid.org/0000-0003-4711-530X"},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makiko Kobayashi","raw_affiliation_strings":["Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, Japan","International Research Organization for Advanced Science and Technology (IROAST) Kumamoto University, Kumamoto, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4711-530X","affiliations":[{"raw_affiliation_string":"Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]},{"raw_affiliation_string":"International Research Organization for Advanced Science and Technology (IROAST) Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077929794","display_name":"Ilknur Tuncer","orcid":"https://orcid.org/0000-0003-1549-7008"},"institutions":[{"id":"https://openalex.org/I4210144819","display_name":"Elaz\u0131\u011f E\u011fitim ve Ara\u015ft\u0131rma Hastanesi","ror":"https://ror.org/03dwvx056","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I4210144819"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ilknur Tuncer","raw_affiliation_strings":["Elazig Governorship, Interior Ministry, Elazig, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-1549-7008","affiliations":[{"raw_affiliation_string":"Elazig Governorship, Interior Ministry, Elazig, Turkey","institution_ids":["https://openalex.org/I4210144819"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016221020","display_name":"Prabal Datta Barua","orcid":"https://orcid.org/0000-0001-5117-8333"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Prabal Datta Barua","raw_affiliation_strings":["School of Business (Information System), University of Southern Queensland, Springfield, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5117-8333","affiliations":[{"raw_affiliation_string":"School of Business (Information System), University of Southern Queensland, Springfield, QLD, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040772000","display_name":"\u015eeng\u00fcl Do\u011fan","orcid":"https://orcid.org/0000-0001-9677-5684"},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Sengul Dogan","raw_affiliation_strings":["Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-9677-5684","affiliations":[{"raw_affiliation_string":"Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig, Turkey","institution_ids":["https://openalex.org/I143396566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067752341","display_name":"T\u00fcrker Tuncer","orcid":"https://orcid.org/0000-0002-5126-6445"},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Turker Tuncer","raw_affiliation_strings":["Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-5126-6445","affiliations":[{"raw_affiliation_string":"Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig, Turkey","institution_ids":["https://openalex.org/I143396566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027649343","display_name":"Ru\u2010San Tan","orcid":"https://orcid.org/0000-0003-2086-6517"},"institutions":[{"id":"https://openalex.org/I4210126319","display_name":"Duke-NUS Medical School","ror":"https://ror.org/02j1m6098","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596","https://openalex.org/I170897317","https://openalex.org/I4210126319"]},{"id":"https://openalex.org/I4210147238","display_name":"National Heart Centre Singapore","ror":"https://ror.org/04f8k9513","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I4210147238"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ru-San Tan","raw_affiliation_strings":["Department of Cardiology, National Heart Centre Singapore, Outram, Singapore","Duke-NUS Medical School, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-2086-6517","affiliations":[{"raw_affiliation_string":"Department of Cardiology, National Heart Centre Singapore, Outram, Singapore","institution_ids":["https://openalex.org/I4210147238"]},{"raw_affiliation_string":"Duke-NUS Medical School, Singapore","institution_ids":["https://openalex.org/I4210126319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074179735","display_name":"U. Rajendra Acharya","orcid":"https://orcid.org/0000-0003-2689-8552"},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"U. Rajendra Acharya","raw_affiliation_strings":["International Research Organization for Advanced Science and Technology (IROAST), Kumamoto University, Kumamoto, Japan"],"raw_orcid":"https://orcid.org/0000-0003-2689-8552","affiliations":[{"raw_affiliation_string":"International Research Organization for Advanced Science and Technology (IROAST), Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5065941630"],"corresponding_institution_ids":["https://openalex.org/I143396566"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1514,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79170535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"108705","last_page":"108715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9986000061035156,"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":0.9986000061035156,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.744705855846405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.648208498954773},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6170237064361572},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5866470336914062},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.563657820224762},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5496965646743774},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5406560301780701},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.487193763256073},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45528918504714966},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34364476799964905},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.327639102935791}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.744705855846405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.648208498954773},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6170237064361572},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5866470336914062},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.563657820224762},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5496965646743774},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5406560301780701},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.487193763256073},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45528918504714966},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34364476799964905},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.327639102935791},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3318751","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3318751","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10262006.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5db78aa60ba14b0f8b715794a7678961","is_oa":true,"landing_page_url":"https://doaj.org/article/5db78aa60ba14b0f8b715794a7678961","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 108705-108715 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3318751","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3318751","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10262006.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387010441.pdf","grobid_xml":"https://content.openalex.org/works/W4387010441.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W195150910","https://openalex.org/W2014125574","https://openalex.org/W2061068689","https://openalex.org/W2169471661","https://openalex.org/W2517871893","https://openalex.org/W3022172938","https://openalex.org/W3095435288","https://openalex.org/W3152803589","https://openalex.org/W3156465546","https://openalex.org/W3209152703","https://openalex.org/W3211845866","https://openalex.org/W3216204909","https://openalex.org/W4200284588","https://openalex.org/W4210412034","https://openalex.org/W4220844134","https://openalex.org/W4287447680","https://openalex.org/W4293222191","https://openalex.org/W4293581755","https://openalex.org/W4306250392","https://openalex.org/W4308917750","https://openalex.org/W4310862682","https://openalex.org/W4313201185","https://openalex.org/W4313201795","https://openalex.org/W4313304716","https://openalex.org/W4313398350","https://openalex.org/W4313444088","https://openalex.org/W4313445649","https://openalex.org/W4313451349","https://openalex.org/W4313704731","https://openalex.org/W4313731672","https://openalex.org/W4315641272","https://openalex.org/W4315643333","https://openalex.org/W4316371766","https://openalex.org/W4317436330","https://openalex.org/W4321234694","https://openalex.org/W4321599321","https://openalex.org/W4323359549","https://openalex.org/W4327703846","https://openalex.org/W4360930863","https://openalex.org/W4361191581","https://openalex.org/W4362579189","https://openalex.org/W4367297557","https://openalex.org/W4377234444","https://openalex.org/W4382202684","https://openalex.org/W6846998981","https://openalex.org/W6849081016"],"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/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W4315815996"],"abstract_inverted_index":{"Background":[0],"and":[1,28,48,62,86,106,153,156,164,199],"purpose:":[2],"Emotion":[3],"classification":[4,178,202],"models":[5],"have":[6,29],"focused":[7],"on":[8,129,180],"subject-":[9],"but":[10],"not":[11],"crowd-level":[12],"signal":[13],"inputs.":[14],"We":[15],"proposed":[16],"sound-based":[17],"community":[18],"emotion":[19,88],"recognition":[20],"(SCED)":[21],"as":[22],"a":[23,31,56,111],"new":[24,57],"machine":[25,167],"learning":[26,197],"challenge":[27],"developed":[30],"novel":[32,112],"deep":[33,192,196],"learning-inspired":[34],"forward-forward":[35],"binary":[36],"ternary":[37,108],"pattern":[38],"(FF-BTP)-based":[39],"feature":[40,96,101,117,126,148,162,187,193],"engineering":[41,188],"model":[42,91,137,172,189],"for":[43,212],"crowd":[44,73],"sentiment":[45],"classification.":[46],"Materials":[47],"Methods:":[49],"From":[50],"187":[51],"YouTube":[52],"videos,":[53],"we":[54],"curated":[55],"dataset":[58],"comprising":[59],"919,":[60],"905":[61],"909":[63],"(total":[64],"2733)":[65],"3-second":[66],"recordings":[67],"(sampling":[68],"frequency":[69,154],"44.1":[70],"KHz)":[71],"of":[72,195],"sounds":[74],"(overlapping":[75],"speech,":[76],"environmental":[77],"noise,":[78],"etc.)":[79],"belonging":[80],"to":[81],"verified":[82],"dominant":[83],"negative,":[84],"neutral,":[85],"positive":[87],"classes.":[89],"Our":[90,135,185],"architecture":[92],"combined":[93],"BTP-based":[94],"textural":[95],"extractor,":[97],"which":[98,145],"generated":[99],"three":[100],"vectors":[102],"using":[103],"signum,":[104],"lower":[105],"upper":[107],"functions,":[109],"with":[110],"Hinton\u2019s":[113],"FF":[114],"algorithm-inspired":[115],"handcrafted":[116,186],"vector":[118,127,166],"selection":[119,163],"function":[120],"that":[121],"identified":[122],"the":[123,151,181,191],"most":[124],"distinctive":[125],"based":[128],"maximum":[130],"calculated":[131],"mean":[132],"square":[133],"error.":[134],"FF-BTP-based":[136,171],"also":[138],"incorporated":[139],"upstream":[140],"multilevel":[141,147],"discrete":[142],"wavelet":[143],"transform,":[144],"enabled":[146],"generation":[149],"in":[150],"spatial":[152],"domains,":[155],"downstream":[157],"iterative":[158],"neighborhood":[159],"component":[160],"analysis-based":[161],"support":[165],"classifier.":[168],"Results:":[169],"The":[170],"attained":[173,200],"excellent":[174,201],"97.22%":[175],"overall":[176],"three-class":[177],"accuracy":[179],"SCED":[182],"dataset.":[183],"Conclusions:":[184],"emulated":[190],"characterization":[194],"models,":[198],"results":[203],"at":[204],"low":[205],"computation":[206],"cost.":[207],"It":[208],"can":[209],"be":[210],"implemented":[211],"emerging":[213],"SCED-related":[214],"applications.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
