{"id":"https://openalex.org/W1581984155","doi":"https://doi.org/10.1109/lsp.2014.2324759","title":"Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition","display_name":"Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition","publication_year":2014,"publication_date":"2014-05-16","ids":{"openalex":"https://openalex.org/W1581984155","doi":"https://doi.org/10.1109/lsp.2014.2324759","mag":"1581984155"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2014.2324759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2324759","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/72545/72545.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/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jun Deng","raw_affiliation_strings":["Machine Intelligence & Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, Germany","[Machine Intelligence & Signal Processing Group, MMK Technische Universit\u00e4t, M\u00fcnchen, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence & Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"[Machine Intelligence & Signal Processing Group, MMK Technische Universit\u00e4t, M\u00fcnchen, 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/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zixing Zhang","raw_affiliation_strings":["Machine Intelligence & Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, Germany","[Machine Intelligence & Signal Processing Group, MMK Technische Universit\u00e4t, M\u00fcnchen, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence & Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"[Machine Intelligence & Signal Processing Group, MMK Technische Universit\u00e4t, M\u00fcnchen, Germany]","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023264395","display_name":"Florian Eyben","orcid":null},"institutions":[{"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":["DE"],"is_corresponding":false,"raw_author_name":"Florian Eyben","raw_affiliation_strings":["Machine Intelligence & Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, Germany","[Machine Intelligence & Signal Processing Group, MMK Technische Universit\u00e4t, M\u00fcnchen, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence & Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"[Machine Intelligence & Signal Processing Group, MMK Technische Universit\u00e4t, M\u00fcnchen, Germany]","institution_ids":["https://openalex.org/I62916508"]}]},{"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/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bjorn Schuller","raw_affiliation_strings":["Machine Intelligence & Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, Germany","[Machine Intelligence & Signal Processing Group, MMK Technische Universit\u00e4t, M\u00fcnchen, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence & Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"[Machine Intelligence & Signal Processing Group, MMK Technische Universit\u00e4t, M\u00fcnchen, Germany]","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":20.9467,"has_fulltext":true,"cited_by_count":274,"citation_normalized_percentile":{"value":0.99645158,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"21","issue":"9","first_page":"1068","last_page":"1072"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9948999881744385,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9948999881744385,"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":0.9911999702453613,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8775190114974976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7069401741027832},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6753523945808411},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6045641899108887},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5461373329162598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5440759658813477},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5033397078514099},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5015926361083984},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47489920258522034},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4261466860771179},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3469625413417816},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1778360903263092},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09653198719024658}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8775190114974976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7069401741027832},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6753523945808411},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6045641899108887},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5461373329162598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5440759658813477},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5033397078514099},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5015926361083984},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47489920258522034},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4261466860771179},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3469625413417816},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1778360903263092},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09653198719024658},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2014.2324759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2324759","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:72545","is_oa":true,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/72545","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/72545/72545.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"}],"best_oa_location":{"id":"pmh:oai:uni-augsburg.opus-bayern.de:72545","is_oa":true,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/72545","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/72545/72545.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":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3308378048","display_name":null,"funder_award_id":"338164","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1581984155.pdf","grobid_xml":"https://content.openalex.org/works/W1581984155.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W123476658","https://openalex.org/W179777611","https://openalex.org/W1501669607","https://openalex.org/W1806891645","https://openalex.org/W1904365287","https://openalex.org/W1988348003","https://openalex.org/W2005572564","https://openalex.org/W2018549299","https://openalex.org/W2025768430","https://openalex.org/W2050752817","https://openalex.org/W2051434435","https://openalex.org/W2085269372","https://openalex.org/W2096135193","https://openalex.org/W2103851188","https://openalex.org/W2113087918","https://openalex.org/W2163922914","https://openalex.org/W2170935389","https://openalex.org/W2316564661","https://openalex.org/W2616180702","https://openalex.org/W6600949241","https://openalex.org/W6604957493","https://openalex.org/W6640036494","https://openalex.org/W6674307226","https://openalex.org/W6675410418","https://openalex.org/W6685111553","https://openalex.org/W6697274609"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3034688404","https://openalex.org/W4394775207","https://openalex.org/W2806873178","https://openalex.org/W2965146396","https://openalex.org/W2770818364","https://openalex.org/W4404095322","https://openalex.org/W4312416532"],"abstract_inverted_index":{"With":[0],"the":[1,21,25,28,69,86,104,136],"availability":[2],"of":[3],"speech":[4,37,121],"data":[5,30],"obtained":[6],"from":[7,61],"different":[8],"devices":[9],"and":[10,27,88,116,139],"varied":[11],"acquisition":[12],"conditions,":[13],"we":[14],"are":[15],"often":[16],"faced":[17],"with":[18],"scenarios,":[19],"where":[20,57],"intrinsic":[22],"discrepancy":[23],"between":[24],"training":[26,70],"test":[29],"has":[31,99],"an":[32,46,52],"adverse":[33],"impact":[34],"on":[35,51,71,103],"affective":[36],"analysis.":[38],"To":[39],"address":[40],"this":[41,43],"issue,":[42],"letter":[44],"introduces":[45],"Adaptive":[47],"Denoising":[48],"Autoencoder":[49],"based":[50],"unsupervised":[53],"domain":[54,94,143],"adaptation":[55,144],"method,":[56],"prior":[58],"knowledge":[59,95],"learned":[60],"a":[62,72,80],"target":[63,87,93,114],"set":[64],"is":[65,77],"used":[66],"to":[67,78],"regularize":[68],"source":[73,89],"set.":[74],"Our":[75],"goal":[76],"achieve":[79],"matched":[81],"feature":[82,142],"space":[83],"representation":[84],"for":[85],"sets":[90],"while":[91],"ensuring":[92],"transfer.":[96],"The":[97,126],"method":[98,132],"been":[100],"successfully":[101],"evaluated":[102],"2009":[105],"INTERSPEECH":[106],"Emotion":[107,111],"Challenge's":[108],"FAU":[109],"Aibo":[110],"Corpus":[112],"as":[113,124],"corpus":[115],"two":[117],"other":[118],"publicly":[119],"available":[120],"emotion":[122],"corpora":[123],"sources.":[125],"experimental":[127],"results":[128],"show":[129],"that":[130],"our":[131],"significantly":[133],"improves":[134],"over":[135],"baseline":[137],"performance":[138],"outperforms":[140],"related":[141],"methods.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":44},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":43},{"year":2018,"cited_by_count":27},{"year":2017,"cited_by_count":39},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}