{"id":"https://openalex.org/W2761514455","doi":"https://doi.org/10.1109/taslp.2017.2759338","title":"Semisupervised Autoencoders for Speech Emotion Recognition","display_name":"Semisupervised Autoencoders for Speech Emotion Recognition","publication_year":2017,"publication_date":"2017-10-05","ids":{"openalex":"https://openalex.org/W2761514455","doi":"https://doi.org/10.1109/taslp.2017.2759338","mag":"2761514455"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2017.2759338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2017.2759338","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":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/44164/44164.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100759486","display_name":"Jun Deng","orcid":"https://orcid.org/0000-0003-3196-8690"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jun Deng","raw_affiliation_strings":["Chair of Complex and Intelligent Systems, University of Passau, Passau, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Complex and Intelligent Systems, University of Passau, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049684805","display_name":"Xinzhou Xu","orcid":"https://orcid.org/0000-0002-4017-5919"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["CN","DE"],"is_corresponding":false,"raw_author_name":"Xinzhou Xu","raw_affiliation_strings":["Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China","Machine Intelligence and Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Machine Intelligence and Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036056631","display_name":"Zixing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zixing Zhang","raw_affiliation_strings":["Chair of Complex and Intelligent Systems, University of Passau, Passau, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Complex and Intelligent Systems, University of Passau, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036552518","display_name":"Sascha Fr\u00fchholz","orcid":"https://orcid.org/0000-0002-6485-3817"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Sascha Fruhholz","raw_affiliation_strings":["Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088","https://openalex.org/I202697423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043060302","display_name":"Bj\u00f6rn W. Schuller","orcid":"https://orcid.org/0000-0002-6478-8699"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bjorn Schuller","raw_affiliation_strings":["Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Augsburg, Germany","GLAM, Department of Computing, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]},{"raw_affiliation_string":"GLAM, Department of Computing, Imperial College London, London, U.K","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100759486"],"corresponding_institution_ids":["https://openalex.org/I186354981"],"apc_list":null,"apc_paid":null,"fwci":12.883,"has_fulltext":true,"cited_by_count":158,"citation_normalized_percentile":{"value":0.99001264,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"26","issue":"1","first_page":"31","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8327029943466187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.801497220993042},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6709728240966797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5839598178863525},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.581911563873291},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5747549533843994},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5246260762214661},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49828124046325684},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.44209590554237366},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4176805913448334},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41548168659210205}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8327029943466187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.801497220993042},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6709728240966797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5839598178863525},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.581911563873291},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5747549533843994},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5246260762214661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49828124046325684},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.44209590554237366},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4176805913448334},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41548168659210205},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/taslp.2017.2759338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2017.2759338","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:uni-augsburg.opus-bayern.de:44164","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-441641","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/44164/44164.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:www.zora.uzh.ch:142379","is_oa":false,"landing_page_url":"https://www.zora.uzh.ch/142379","pdf_url":null,"source":{"id":"https://openalex.org/S4306401281","display_name":"Zurich Open Repository and Archive (University of Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I202697423","host_organization_name":"University of Zurich","host_organization_lineage":["https://openalex.org/I202697423"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Deng, Jun; Xu, Xinzhou; Zhang, Zixing; Fr\u00fchholz, Sascha; Schuller, Bjorn  (2017). Semi-supervised autoencoders for speech emotion recognition.  IEEE/ACM Transactions on Audio, Speech, and Language Processing, (99):1.","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:uni-augsburg.opus-bayern.de:44164","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-441641","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/44164/44164.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4099999964237213,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1757339309","display_name":null,"funder_award_id":"PP00P1_157409/1","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G2007340599","display_name":null,"funder_award_id":"SNSF PP00P1_157409","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G2417070089","display_name":null,"funder_award_id":"338164","funder_id":"https://openalex.org/F4320334960","funder_display_name":"Seventh Framework Programme"},{"id":"https://openalex.org/G3308378048","display_name":null,"funder_award_id":"338164","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G3360777551","display_name":null,"funder_award_id":"PP00P1","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G3539976573","display_name":null,"funder_award_id":"SNSF PP00P1_157409/1","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G4132985236","display_name":null,"funder_award_id":"unknown","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G4454998404","display_name":null,"funder_award_id":"IKT2020","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G4838704522","display_name":null,"funder_award_id":"in part","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G5784569816","display_name":"Neurocognitive Mechanisms of Auditory Perception \u2013 Challenging The Human Auditory System at The Limits of Hearing","funder_award_id":"157409","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G6959071412","display_name":"Importfunde aus der hallstattzeitlichen Siedlung. Ch\u00e2tillon-sur-Gl\u00e2ne im Kanton Freiburg.","funder_award_id":"33816","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G7225624288","display_name":null,"funder_award_id":"This work was","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G777196954","display_name":null,"funder_award_id":"(SNSF PP00P1_157409/1)","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G8404031682","display_name":null,"funder_award_id":"16SV7213","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8589651859","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334960","display_name":"Seventh Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2761514455.pdf","grobid_xml":"https://content.openalex.org/works/W2761514455.grobid-xml"},"referenced_works_count":101,"referenced_works":["https://openalex.org/W147964346","https://openalex.org/W155855048","https://openalex.org/W175750906","https://openalex.org/W177923765","https://openalex.org/W179777611","https://openalex.org/W189596042","https://openalex.org/W567437002","https://openalex.org/W830076066","https://openalex.org/W1026270304","https://openalex.org/W1479807131","https://openalex.org/W1501506202","https://openalex.org/W1501669607","https://openalex.org/W1522301498","https://openalex.org/W1531103298","https://openalex.org/W1533861849","https://openalex.org/W1581984155","https://openalex.org/W1630959083","https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W1964155876","https://openalex.org/W1974470404","https://openalex.org/W2018549299","https://openalex.org/W2021687153","https://openalex.org/W2025768430","https://openalex.org/W2029349470","https://openalex.org/W2032254851","https://openalex.org/W2042700175","https://openalex.org/W2048679005","https://openalex.org/W2050752817","https://openalex.org/W2062391442","https://openalex.org/W2064675550","https://openalex.org/W2072128103","https://openalex.org/W2080576537","https://openalex.org/W2085662862","https://openalex.org/W2087618018","https://openalex.org/W2090777335","https://openalex.org/W2098617596","https://openalex.org/W2099215977","https://openalex.org/W2100495367","https://openalex.org/W2104755048","https://openalex.org/W2105577021","https://openalex.org/W2108501770","https://openalex.org/W2109712306","https://openalex.org/W2111926505","https://openalex.org/W2113087918","https://openalex.org/W2117645142","https://openalex.org/W2144005487","https://openalex.org/W2153720647","https://openalex.org/W2154455818","https://openalex.org/W2160056366","https://openalex.org/W2160815625","https://openalex.org/W2160838274","https://openalex.org/W2170973209","https://openalex.org/W2181647815","https://openalex.org/W2183343480","https://openalex.org/W2188576405","https://openalex.org/W2194775991","https://openalex.org/W2296199791","https://openalex.org/W2399733683","https://openalex.org/W2400120934","https://openalex.org/W2407712691","https://openalex.org/W2408513201","https://openalex.org/W2564725949","https://openalex.org/W2618530766","https://openalex.org/W2919115771","https://openalex.org/W2949416428","https://openalex.org/W2950621961","https://openalex.org/W2952229419","https://openalex.org/W2952729433","https://openalex.org/W2963467407","https://openalex.org/W2964121744","https://openalex.org/W4231109964","https://openalex.org/W4254718357","https://openalex.org/W6605980550","https://openalex.org/W6607181510","https://openalex.org/W6607193717","https://openalex.org/W6607232981","https://openalex.org/W6607775107","https://openalex.org/W6623329352","https://openalex.org/W6629853029","https://openalex.org/W6630073874","https://openalex.org/W6631190155","https://openalex.org/W6631708475","https://openalex.org/W6631943919","https://openalex.org/W6636599907","https://openalex.org/W6637242042","https://openalex.org/W6638667902","https://openalex.org/W6660909453","https://openalex.org/W6665953615","https://openalex.org/W6670464412","https://openalex.org/W6675213733","https://openalex.org/W6675770872","https://openalex.org/W6675944832","https://openalex.org/W6681409903","https://openalex.org/W6682494755","https://openalex.org/W6683674211","https://openalex.org/W6685158001","https://openalex.org/W6697151493","https://openalex.org/W6712679570","https://openalex.org/W6714094541","https://openalex.org/W6731071950"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000","https://openalex.org/W3000197790","https://openalex.org/W2130553454","https://openalex.org/W3022007134","https://openalex.org/W4317548404","https://openalex.org/W2087783760","https://openalex.org/W1509924131"],"abstract_inverted_index":{"Despite":[0],"the":[1,18,28,31,54,57,60,84,88,106,121],"widespread":[2],"use":[3],"of":[4,20,23,34,59,117],"supervised":[5,78],"learning":[6,79],"methods":[7],"for":[8,27],"speech":[9,25,36,46],"emotion":[10,47],"recognition,":[11],"they":[12],"are":[13],"severely":[14],"restricted":[15],"due":[16],"to":[17,44,52],"lack":[19],"sufficient":[21],"amount":[22],"labelled":[24,61,118],"data":[26,62,119],"training.":[29],"Considering":[30],"wide":[32],"availability":[33],"unlabelled":[35,64],"data,":[37],"therefore,":[38],"this":[39],"paper":[40],"proposes":[41],"semisupervised":[42],"autoencoders":[43],"improve":[45],"recognition.":[48],"The":[49,66],"aim":[50],"is":[51],"reap":[53],"benefit":[55],"from":[56],"combination":[58],"and":[63,94,124,127],"data.":[65],"proposed":[67,85,107],"model":[68,86,108],"extends":[69],"a":[70,77,113],"popular":[71],"unsupervised":[72],"autoencoder":[73],"by":[74],"carefully":[75],"adjoining":[76],"objective.":[80],"We":[81],"extensively":[82],"evaluate":[83],"on":[87,120],"INTERSPEECH":[89],"2009":[90],"Emotion":[91],"Challenge":[92],"database":[93],"other":[95,125,130],"four":[96],"public":[97],"databases":[98],"in":[99],"different":[100],"scenarios.":[101],"Experimental":[102],"results":[103],"demonstrate":[104],"that":[105],"achieves":[109],"state-of-the-art":[110],"performance":[111],"with":[112],"very":[114],"small":[115],"number":[116],"challenge":[122],"task":[123],"tasks,":[126],"significantly":[128],"outperforms":[129],"alternative":[131],"methods.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":14}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}