{"id":"https://openalex.org/W4379619722","doi":"https://doi.org/10.1109/wocc58016.2023.10139686","title":"Deep Learning for the Detection of Emotion in Human Speech: The Impact of Audio Sample Duration and English versus Italian Languages","display_name":"Deep Learning for the Detection of Emotion in Human Speech: The Impact of Audio Sample Duration and English versus Italian Languages","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4379619722","doi":"https://doi.org/10.1109/wocc58016.2023.10139686"},"language":"en","primary_location":{"id":"doi:10.1109/wocc58016.2023.10139686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc58016.2023.10139686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","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/A5092105068","display_name":"Alexander Wurst","orcid":null},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexander Wurst","raw_affiliation_strings":["Stevens Institute of Technology,Department of Electrical and Computer Engineering,Hoboken,NJ,USA,07307"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Department of Electrical and Computer Engineering,Hoboken,NJ,USA,07307","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008536450","display_name":"Michael Hopwood","orcid":"https://orcid.org/0000-0001-6190-1767"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Hopwood","raw_affiliation_strings":["Stevens Institute of Technology,Department of Electrical and Computer Engineering,Hoboken,NJ,USA,07307"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Department of Electrical and Computer Engineering,Hoboken,NJ,USA,07307","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101463077","display_name":"Sifan Wu","orcid":"https://orcid.org/0000-0003-1525-9413"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sifan Wu","raw_affiliation_strings":["School of Communications and Information Engineering, Nanjing University of Posts & Telecommunications (NJUPT),Nanjing,China,210003"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Nanjing University of Posts & Telecommunications (NJUPT),Nanjing,China,210003","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325913","display_name":"Fei Li","orcid":"https://orcid.org/0009-0005-7172-6479"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Li","raw_affiliation_strings":["School of Communications and Information Engineering, Nanjing University of Posts & Telecommunications (NJUPT),Nanjing,China,210003"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Nanjing University of Posts & Telecommunications (NJUPT),Nanjing,China,210003","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021827481","display_name":"Yudong Yao","orcid":"https://orcid.org/0000-0003-3868-0593"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Dong Yao","raw_affiliation_strings":["Stevens Institute of Technology,Department of Electrical and Computer Engineering,Hoboken,NJ,USA,07307"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Department of Electrical and Computer Engineering,Hoboken,NJ,USA,07307","institution_ids":["https://openalex.org/I108468826"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5092105068"],"corresponding_institution_ids":["https://openalex.org/I108468826"],"apc_list":null,"apc_paid":null,"fwci":0.786,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72587701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9997000098228455,"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/T11309","display_name":"Music and Audio Processing","score":0.9990000128746033,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9965999722480774,"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":0.7302953004837036},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6163113117218018},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6058719158172607},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5724287033081055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.557780385017395},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.514351487159729},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5051358342170715},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.46860823035240173},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4481396973133087},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4442155659198761}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7302953004837036},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6163113117218018},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6058719158172607},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5724287033081055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.557780385017395},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.514351487159729},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5051358342170715},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.46860823035240173},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4481396973133087},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4442155659198761},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wocc58016.2023.10139686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc58016.2023.10139686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2146334809","https://openalex.org/W2747664154","https://openalex.org/W2748702193","https://openalex.org/W2800253600","https://openalex.org/W2885005742","https://openalex.org/W2887115625","https://openalex.org/W2888786729","https://openalex.org/W2889107526","https://openalex.org/W2889191349","https://openalex.org/W2889286050","https://openalex.org/W2889325879","https://openalex.org/W2889374687","https://openalex.org/W2889462515","https://openalex.org/W2889544113","https://openalex.org/W2894089136","https://openalex.org/W2962736520","https://openalex.org/W2963196848","https://openalex.org/W2964297723"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W4305042383","https://openalex.org/W2546649374","https://openalex.org/W1550318927","https://openalex.org/W4380854332"],"abstract_inverted_index":{"Identification":[0],"of":[1,11,39,50,65,82,103],"emotion":[2,38],"types":[3],"is":[4],"important":[5],"in":[6,57],"the":[7,37,44,80,83,101,104,109,118],"diagnosis":[8],"and":[9,20,30,46,52,73,87,93,116],"treatment":[10],"certain":[12],"mental":[13],"illnesses.":[14],"This":[15],"study":[16],"uses":[17],"audio":[18,54,105],"data":[19,56],"deep":[21,84],"learning":[22,85],"methods":[23,86],"such":[24],"as":[25],"convolutional":[26],"neural":[27],"networks":[28],"(CNN)":[29],"long":[31],"short-term":[32],"memory":[33],"(LSTM)":[34],"to":[35,60,67],"classify":[36,61],"human":[40],"speech.":[41],"We":[42,98],"use":[43],"IEMOCAP":[45],"DEMoS":[47],"datasets,":[48],"consisting":[49],"English":[51,122],"Italian":[53,124],"speech":[55,62],"our":[58,88],"experiments":[59,89],"into":[63],"one":[64],"up":[66],"four":[68],"emotions:":[69],"angry,":[70],"happy,":[71],"neutral,":[72],"sad.":[74],"The":[75],"classification":[76,96,110,119],"performance":[77],"results":[78],"demonstrate":[79],"effectiveness":[81],"yield":[90],"between":[91],"62":[92],"92":[94],"percent":[95],"accuracies.":[97],"specifically":[99],"investigate":[100],"impact":[102],"sample":[106],"duration":[107],"on":[108],"accuracy.":[111],"In":[112],"addition,":[113],"we":[114],"examine":[115],"compare":[117],"accuracy":[120],"for":[121],"versus":[123],"languages.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}