{"id":"https://openalex.org/W4285251897","doi":"https://doi.org/10.1109/access.2022.3189481","title":"Speech Emotion and Naturalness Recognitions With Multitask and Single-Task Learnings","display_name":"Speech Emotion and Naturalness Recognitions With Multitask and Single-Task Learnings","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285251897","doi":"https://doi.org/10.1109/access.2022.3189481"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3189481","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3189481","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09819911.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/ielx7/6287639/6514899/09819911.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065879041","display_name":"Bagus Tris Atmaja","orcid":"https://orcid.org/0000-0003-1560-2824"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Bagus Tris Atmaja","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046057045","display_name":"Akira Sasou","orcid":"https://orcid.org/0000-0003-1700-0325"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Sasou","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055059119","display_name":"Masato Akagi","orcid":"https://orcid.org/0000-0003-2450-6754"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Akagi","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology, Nomi, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology, Nomi, Japan","institution_ids":["https://openalex.org/I177738480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065879041"],"corresponding_institution_ids":["https://openalex.org/I73613424"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.4192,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.94808796,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"72381","last_page":"72387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":1.0,"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":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9925000071525574,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9854000210762024,"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/naturalness","display_name":"Naturalness","score":0.9738850593566895},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.7027117609977722},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.642536997795105},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.6224445104598999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.61653071641922},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.5388317704200745},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5242048501968384},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4688032269477844},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.454125314950943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42362892627716064},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3323686122894287},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.0634160041809082}],"concepts":[{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.9738850593566895},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.7027117609977722},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.642536997795105},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.6224445104598999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61653071641922},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.5388317704200745},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5242048501968384},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4688032269477844},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.454125314950943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42362892627716064},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3323686122894287},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0634160041809082},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2022.3189481","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3189481","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09819911.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:4451b84aa295423cbd7b66aa5c761af0","is_oa":true,"landing_page_url":"https://doaj.org/article/4451b84aa295423cbd7b66aa5c761af0","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 10, Pp 72381-72387 (2022)","raw_type":"article"},{"id":"pmh:oai:dspace.jaist.ac.jp:10119/18102","is_oa":false,"landing_page_url":"http://hdl.handle.net/10119/18103","pdf_url":null,"source":{"id":"https://openalex.org/S4406922663","display_name":"JAIST Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.1109/access.2022.3189481","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3189481","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09819911.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":[{"id":"https://openalex.org/G6725152017","display_name":null,"funder_award_id":"JPNP20006","funder_id":"https://openalex.org/F4320321034","funder_display_name":"New Energy and Industrial Technology Development Organization"}],"funders":[{"id":"https://openalex.org/F4320321034","display_name":"New Energy and Industrial Technology Development Organization","ror":"https://ror.org/0055k7a87"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285251897.pdf","grobid_xml":"https://content.openalex.org/works/W4285251897.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W147964346","https://openalex.org/W1412878278","https://openalex.org/W2008264338","https://openalex.org/W2090777335","https://openalex.org/W2101234009","https://openalex.org/W2153822685","https://openalex.org/W2156848952","https://openalex.org/W2165857685","https://openalex.org/W2192412620","https://openalex.org/W2239141610","https://openalex.org/W2342475039","https://openalex.org/W2346454595","https://openalex.org/W2513507089","https://openalex.org/W2747172199","https://openalex.org/W2900358852","https://openalex.org/W2939274787","https://openalex.org/W3038694848","https://openalex.org/W3097206152","https://openalex.org/W3104763483","https://openalex.org/W3162538529","https://openalex.org/W4288586849","https://openalex.org/W6675354045","https://openalex.org/W6713134421","https://openalex.org/W6759527129","https://openalex.org/W6980118482"],"related_works":["https://openalex.org/W2029072726","https://openalex.org/W91913183","https://openalex.org/W2936882366","https://openalex.org/W2736893848","https://openalex.org/W2128698257","https://openalex.org/W1544055438","https://openalex.org/W3003450285","https://openalex.org/W2013608943","https://openalex.org/W4399628019","https://openalex.org/W2085024878"],"abstract_inverted_index":{"This":[0],"paper":[1],"evaluates":[2],"speech":[3,165],"emotion":[4,21,50,69,94,117,184,190,197],"and":[5,16,26,55,72,96,118,141],"naturalness":[6,34,56,75,97,111,119,149,173,182],"recognitions":[7],"by":[8],"utilizing":[9],"deep":[10],"learning":[11,15,18,46,65,82,90,103,109,128],"models":[12],"with":[13,80,183],"multitask":[14,81,108,127],"single-task":[17,64,89,102],"approaches.":[19],"The":[20,33,63,78,113,145,176],"model":[22,199],"accommodates":[23],"valence,":[24],"arousal,":[25,71],"dominance":[27],"attributes":[28],"known":[29],"as":[30,42],"dimensional":[31,43,49,68,93],"emotion.":[32,44],"ratings":[35],"are":[36],"labeled":[37],"on":[38,88],"a":[39,158],"five-point":[40],"scale":[41],"Multitask":[45],"predicts":[47,66],"both":[48,92],"(as":[51,58],"the":[52,123,130,133,139,168,172,187,196],"main":[53],"task)":[54,61],"scores":[57,121],"an":[59],"auxiliary":[60],"simultaneously.":[62],"either":[67],"(valence,":[70],"dominance)":[73],"or":[74],"score":[76,147],"independently.":[77],"results":[79],"show":[83],"improvement":[84],"from":[85],"previous":[86],"studies":[87],"for":[91,110],"recognition":[95,191,198],"predictions.":[98],"Within":[99],"this":[100,152],"study,":[101],"still":[104],"shows":[105],"superiority":[106],"over":[107],"recognition.":[112],"scatter":[114],"plots":[115],"of":[116,132,148,161,163,174,189],"prediction":[120,150],"against":[122],"true":[124],"labels":[125],"in":[126,151,195,200],"exhibit":[129],"lack":[131],"model;":[134],"it":[135],"fails":[136],"to":[137,157],"predict":[138],"low":[140,146,159],"extremely":[142],"high":[143],"scores.":[144],"study":[153],"is":[154,179],"possibly":[155],"due":[156],"number":[160],"samples":[162,166],"unnatural":[164],"since":[167],"MSP-IMPROV":[169],"dataset":[170],"promotes":[171],"speech.":[175],"finding":[177],"that":[178],"jointly":[180],"predicting":[181],"helps":[185],"improve":[186],"performance":[188],"may":[192],"be":[193],"embodied":[194],"future":[201],"work.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}