{"id":"https://openalex.org/W3114925916","doi":"https://doi.org/10.1109/o-cocosda50338.2020.9295032","title":"Improving Valence Prediction in Dimensional Speech Emotion Recognition Using Linguistic Information","display_name":"Improving Valence Prediction in Dimensional Speech Emotion Recognition Using Linguistic Information","publication_year":2020,"publication_date":"2020-11-05","ids":{"openalex":"https://openalex.org/W3114925916","doi":"https://doi.org/10.1109/o-cocosda50338.2020.9295032","mag":"3114925916"},"language":"en","primary_location":{"id":"doi:10.1109/o-cocosda50338.2020.9295032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/o-cocosda50338.2020.9295032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 23rd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10119/17068","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/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Bagus Tris Atmaja","raw_affiliation_strings":["Department of Engineering Physics, Sepuluh Nopember Institute of Technology, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Physics, Sepuluh Nopember Institute of Technology, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"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":["School of Information Science, Japan Adv. Inst. of Sci. & Tech., Nomi, Japan"],"affiliations":[{"raw_affiliation_string":"School of Information Science, Japan Adv. Inst. of Sci. & Tech., Nomi, Japan","institution_ids":["https://openalex.org/I177738480"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065879041"],"corresponding_institution_ids":["https://openalex.org/I166843116"],"apc_list":null,"apc_paid":null,"fwci":1.2526,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8160212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"166","last_page":"171"},"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":0.9988999962806702,"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":0.9972000122070312,"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/valence","display_name":"Valence (chemistry)","score":0.8976008296012878},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.7702471017837524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5824648141860962},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5815581679344177},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4477364122867584},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4377143681049347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4282294511795044},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.4226170480251312},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41959941387176514},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.34756413102149963},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.21195441484451294},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.10683733224868774},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09511229395866394},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09116721153259277}],"concepts":[{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.8976008296012878},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.7702471017837524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5824648141860962},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5815581679344177},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4477364122867584},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4377143681049347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4282294511795044},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4226170480251312},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41959941387176514},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.34756413102149963},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.21195441484451294},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.10683733224868774},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09511229395866394},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09116721153259277},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/o-cocosda50338.2020.9295032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/o-cocosda50338.2020.9295032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 23rd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01333:0004847696","is_oa":true,"landing_page_url":"http://hdl.handle.net/10119/17068","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"2020 23rd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01333:0004847696","is_oa":true,"landing_page_url":"http://hdl.handle.net/10119/17068","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"2020 23rd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","raw_type":"conference paper"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1614298861","https://openalex.org/W1836465849","https://openalex.org/W2040378199","https://openalex.org/W2087054143","https://openalex.org/W2146334809","https://openalex.org/W2192412620","https://openalex.org/W2239141610","https://openalex.org/W2250539671","https://openalex.org/W2313339984","https://openalex.org/W2318465276","https://openalex.org/W2557283755","https://openalex.org/W2742542661","https://openalex.org/W2745862583","https://openalex.org/W2747172199","https://openalex.org/W2767461737","https://openalex.org/W2797947982","https://openalex.org/W2800502982","https://openalex.org/W2889100420","https://openalex.org/W2889169802","https://openalex.org/W2889191349","https://openalex.org/W2896457183","https://openalex.org/W2937833637","https://openalex.org/W2950577311","https://openalex.org/W2953384591","https://openalex.org/W2962770129","https://openalex.org/W2962772361","https://openalex.org/W2963182768","https://openalex.org/W2963341956","https://openalex.org/W2963447013","https://openalex.org/W2964121744","https://openalex.org/W2973034847","https://openalex.org/W2973110385","https://openalex.org/W2980708516","https://openalex.org/W3011985699","https://openalex.org/W3016092640","https://openalex.org/W3032325810","https://openalex.org/W4294367149","https://openalex.org/W4299280181","https://openalex.org/W6631190155","https://openalex.org/W6713134421","https://openalex.org/W6747248625","https://openalex.org/W6774184209","https://openalex.org/W7027646976"],"related_works":["https://openalex.org/W2029072726","https://openalex.org/W91913183","https://openalex.org/W2936882366","https://openalex.org/W1987182177","https://openalex.org/W2736893848","https://openalex.org/W1544055438","https://openalex.org/W3003450285","https://openalex.org/W2085024878","https://openalex.org/W2087245461","https://openalex.org/W4361008003"],"abstract_inverted_index":{"In":[0],"dimensional":[1,18],"emotion":[2,20],"recognition,":[3],"a":[4,24,68,100],"model":[5],"called":[6],"valence,":[7,95],"arousal,":[8,96],"and":[9,36,90,97,105,117],"dominance":[10,118],"is":[11,32,67],"widely":[12],"used.":[13],"The":[14,74],"current":[15],"research":[16],"in":[17,120],"speech":[19],"recognition":[21],"has":[22],"shown":[23],"problem":[25],"that":[26],"the":[27,48,77],"performance":[28,78],"of":[29,51,79,103],"valence":[30,52,80,88,111],"prediction":[31,53,81],"lower":[33],"than":[34],"arousal":[35,116],"dominance.":[37],"This":[38],"paper":[39],"presents":[40],"an":[41],"approach":[42,59],"to":[43,72],"tackle":[44],"this":[45],"problem:":[46],"improving":[47],"low":[49],"score":[50],"by":[54],"utilizing":[55],"linguistic":[56,64,106],"information.":[57],"Our":[58],"fuses":[60],"acoustic":[61,104],"features":[62,107],"with":[63],"features,":[65],"which":[66],"conversion":[69],"from":[70],"words":[71],"vectors.":[73],"results":[75],"doubled":[76],"on":[82],"both":[83],"single-task":[84],"learning":[85,92],"single-output":[86],"(predicting":[87,94],"only)":[89],"multitask":[91,121],"multi-output":[93],"dominance).":[98],"Using":[99],"proper":[101],"combination":[102],"not":[108],"only":[109],"improved":[110,115],"prediction,":[112],"but":[113],"also":[114],"predictions":[119],"learning.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}