{"id":"https://openalex.org/W2625435062","doi":"https://doi.org/10.21437/interspeech.2017-1637","title":"Progressive Neural Networks for Transfer Learning in Emotion Recognition","display_name":"Progressive Neural Networks for Transfer Learning in Emotion Recognition","publication_year":2017,"publication_date":"2017-08-16","ids":{"openalex":"https://openalex.org/W2625435062","doi":"https://doi.org/10.21437/interspeech.2017-1637","mag":"2625435062"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2017-1637","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2017-1637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2017","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1706.03256","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074548073","display_name":"John Gideon","orcid":"https://orcid.org/0000-0003-3945-3341"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Gideon","raw_affiliation_strings":["\u2020University of Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u2020University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025206583","display_name":"Soheil Khorram","orcid":"https://orcid.org/0000-0002-2306-3341"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soheil Khorram","raw_affiliation_strings":["\u2020University of Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u2020University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090927958","display_name":"Zakaria Aldeneh","orcid":"https://orcid.org/0000-0003-4599-2448"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zakaria Aldeneh","raw_affiliation_strings":["\u2020University of Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u2020University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115044944","display_name":"Dimitrios Dimitriadis","orcid":"https://orcid.org/0000-0001-8483-0105"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dimitrios Dimitriadis","raw_affiliation_strings":["IBM"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003136334","display_name":"Emily Mower Provost","orcid":"https://orcid.org/0000-0003-1870-6063"},"institutions":[{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emily Mower Provost","raw_affiliation_strings":["Robotics Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Institute","institution_ids":["https://openalex.org/I4210116723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8784,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85844595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1098","last_page":"1102"},"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":0.9970999956130981,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.996999979019165,"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/paralanguage","display_name":"Paralanguage","score":0.9623974561691284},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7751859426498413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7298955917358398},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6697514057159424},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6276494860649109},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5607612729072571},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5395376682281494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5041817426681519},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.483122318983078},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4770181179046631},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41745561361312866},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41475069522857666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38319265842437744},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.22582200169563293},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14870238304138184},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.13185033202171326},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.058849185705184937}],"concepts":[{"id":"https://openalex.org/C133378560","wikidata":"https://www.wikidata.org/wiki/Q1753225","display_name":"Paralanguage","level":2,"score":0.9623974561691284},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7751859426498413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298955917358398},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6697514057159424},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6276494860649109},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5607612729072571},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5395376682281494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5041817426681519},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.483122318983078},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4770181179046631},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41745561361312866},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41475069522857666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38319265842437744},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.22582200169563293},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14870238304138184},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.13185033202171326},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.058849185705184937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.21437/interspeech.2017-1637","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2017-1637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2017","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1706.03256","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.03256","pdf_url":"https://arxiv.org/pdf/1706.03256","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.1706.03256","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1706.03256","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2625435062","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1706.03256","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.03256","pdf_url":"https://arxiv.org/pdf/1706.03256","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2625435062.pdf","grobid_xml":"https://content.openalex.org/works/W2625435062.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1501669607","https://openalex.org/W2050752817","https://openalex.org/W2109779438","https://openalex.org/W2239141610","https://openalex.org/W2250806155","https://openalex.org/W2253728219","https://openalex.org/W2310102669","https://openalex.org/W2342475039","https://openalex.org/W2343758848","https://openalex.org/W2399016933","https://openalex.org/W2400814905","https://openalex.org/W2426267443","https://openalex.org/W2508783453","https://openalex.org/W2546702061","https://openalex.org/W2757445263","https://openalex.org/W2952629144"],"related_works":["https://openalex.org/W3035303680","https://openalex.org/W3210160883","https://openalex.org/W2897636448","https://openalex.org/W2940749459","https://openalex.org/W2968417070","https://openalex.org/W2571740133","https://openalex.org/W3119985340","https://openalex.org/W2973196652","https://openalex.org/W3173765582","https://openalex.org/W2918378401","https://openalex.org/W2306831900","https://openalex.org/W2980463662","https://openalex.org/W2840327007","https://openalex.org/W3190674349","https://openalex.org/W2531262049","https://openalex.org/W1871419576","https://openalex.org/W2750852530","https://openalex.org/W3161446961","https://openalex.org/W2905054565","https://openalex.org/W3114518223"],"abstract_inverted_index":{"Many":[0],"paralinguistic":[1,30,116],"tasks":[2,117],"are":[3],"closely":[4],"related":[5],"and":[6,34,64,76,87,118],"thus":[7],"representations":[8,111],"learned":[9,113],"in":[10,49],"one":[11,50],"domain":[12],"can":[13,25,53,107,122],"be":[14,26,54],"leveraged":[15],"for":[16,114],"another.":[17,57],"In":[18],"this":[19,40],"paper,":[20],"we":[21,38],"investigate":[22],"how":[23,46],"knowledge":[24,47,86],"transferred":[27,55],"between":[28],"three":[29],"tasks:":[31],"speaker,":[32],"emotion,":[33],"gender":[35],"recognition.":[36],"Further,":[37],"extend":[39],"problem":[41],"to":[42,56,68,84,127],"cross-dataset":[43],"tasks,":[44],"asking":[45],"captured":[48],"emotion":[51,105,132],"dataset":[52],"We":[58],"focus":[59],"on":[60,97],"progressive":[61],"neural":[62,79,95],"networks":[63,67,80,96],"compare":[65],"these":[66],"the":[69,89,129],"conventional":[70],"deep":[71],"learning":[72,121],"method":[73],"of":[74,131],"pre-training":[75,94],"fine-tuning.":[77],"Progressive":[78],"provide":[81],"a":[82],"way":[83],"transfer":[85,120],"avoid":[88],"forgetting":[90],"effect":[91],"present":[92],"when":[93],"different":[98,115],"tasks.":[99],"Our":[100],"experiments":[101],"demonstrate":[102],"that:":[103],"(1)":[104],"recognition":[106,133],"benefit":[108],"from":[109],"using":[110],"originally":[112],"(2)":[119],"effectively":[123],"leverage":[124],"additional":[125],"datasets":[126],"improve":[128],"performance":[130],"systems.":[134]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
