{"id":"https://openalex.org/W2972602199","doi":"https://doi.org/10.21437/interspeech.2019-2769","title":"Unsupervised Low-Rank Representations for Speech Emotion Recognition","display_name":"Unsupervised Low-Rank Representations for Speech Emotion Recognition","publication_year":2019,"publication_date":"2019-09-13","ids":{"openalex":"https://openalex.org/W2972602199","doi":"https://doi.org/10.21437/interspeech.2019-2769","mag":"2972602199"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2019-2769","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2019-2769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2019","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.07072","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026032406","display_name":"Georgios Paraskevopoulos","orcid":"https://orcid.org/0000-0003-4067-6294"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Paraskevopoulos","raw_affiliation_strings":["Behavioral Signal Technologies, Los Angeles, CA, USA","School of Electrical & Computer Engineering, National Technical University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Behavioral Signal Technologies, Los Angeles, CA, USA","institution_ids":[]},{"raw_affiliation_string":"School of Electrical & Computer Engineering, National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016864112","display_name":"Efthymios Tzinis","orcid":"https://orcid.org/0000-0002-1047-1338"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Efthymios Tzinis","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Urbana-Champaign, IL, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, IL, US","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052196585","display_name":"Nikolaos Ellinas","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Ellinas","raw_affiliation_strings":["School of Electrical & Computer Engineering, National Technical University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Computer Engineering, National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069190127","display_name":"\u0398\u03b5\u03cc\u03b4\u03c9\u03c1\u03bf\u03c2 \u0393\u03b9\u03b1\u03bd\u03bd\u03b1\u03ba\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf\u03c2","orcid":"https://orcid.org/0000-0003-1634-824X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Theodoros Giannakopoulos","raw_affiliation_strings":["Behavioral Signal Technologies, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Behavioral Signal Technologies, Los Angeles, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084949286","display_name":"Alexandros Potamianos","orcid":"https://orcid.org/0009-0007-1532-5288"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Alexandros Potamianos","raw_affiliation_strings":["Behavioral Signal Technologies, Los Angeles, CA, USA","School of Electrical & Computer Engineering, National Technical University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Behavioral Signal Technologies, Los Angeles, CA, USA","institution_ids":[]},{"raw_affiliation_string":"School of Electrical & Computer Engineering, National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"939","last_page":"943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"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/T11309","display_name":"Music and Audio Processing","score":0.998199999332428,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6813192367553711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6417182087898254},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6351512670516968},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6236101388931274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6120103001594543},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6096571683883667},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5944395065307617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5795907378196716},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5275275707244873},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5058607459068298},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4676491916179657},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4562689960002899},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34971383213996887},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19476354122161865},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08216148614883423}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6813192367553711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6417182087898254},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6351512670516968},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6236101388931274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6120103001594543},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6096571683883667},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5944395065307617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5795907378196716},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5275275707244873},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5058607459068298},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4676491916179657},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4562689960002899},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34971383213996887},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19476354122161865},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08216148614883423},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2019-2769","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2019-2769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2019","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2104.07072","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.07072","pdf_url":"https://arxiv.org/pdf/2104.07072","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.07072","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.07072","pdf_url":"https://arxiv.org/pdf/2104.07072","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W117096852","https://openalex.org/W147964346","https://openalex.org/W175750906","https://openalex.org/W1485035304","https://openalex.org/W1821148229","https://openalex.org/W1973192023","https://openalex.org/W1989287797","https://openalex.org/W1993436046","https://openalex.org/W2001141328","https://openalex.org/W2001619934","https://openalex.org/W2011688148","https://openalex.org/W2030368776","https://openalex.org/W2053186076","https://openalex.org/W2073764510","https://openalex.org/W2083094940","https://openalex.org/W2097360283","https://openalex.org/W2104752854","https://openalex.org/W2109172886","https://openalex.org/W2109531142","https://openalex.org/W2128507168","https://openalex.org/W2135744686","https://openalex.org/W2144935315","https://openalex.org/W2146334809","https://openalex.org/W2152825437","https://openalex.org/W2156718197","https://openalex.org/W2157543951","https://openalex.org/W2158061940","https://openalex.org/W2167797544","https://openalex.org/W2168241833","https://openalex.org/W2171029115","https://openalex.org/W2294798173","https://openalex.org/W2343758848","https://openalex.org/W2512449761","https://openalex.org/W2602034649","https://openalex.org/W2648194195","https://openalex.org/W2806380130","https://openalex.org/W2888778306","https://openalex.org/W3014771378","https://openalex.org/W3141898517","https://openalex.org/W4294541781"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W4391160746","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"We":[0,47],"examine":[1],"the":[2,87],"use":[3],"of":[4,39,74,89,94,104],"linear":[5],"and":[6,30,34],"non-linear":[7],"dimensionality":[8,79,90],"reduction":[9,80],"algorithms":[10],"for":[11,16,54,91],"extracting":[12],"low-rank":[13],"feature":[14,21,106],"representations":[15,56,67],"speech":[17,40,49],"emotion":[18,50],"recognition.":[19],"Two":[20],"sets":[22],"are":[23],"used,":[24],"one":[25,35],"based":[26],"on":[27,57],"low-level":[28],"descriptors":[29],"their":[31,45],"aggregations":[32],"(IS10)":[33],"modeling":[36],"recurrence":[37],"dynamics":[38],"(RQA),":[41],"as":[42,44],"well":[43],"fusion.":[46],"report":[48],"recognition":[51],"(SER)":[52],"results":[53],"learned":[55],"two":[58,97],"databases":[59],"using":[60],"different":[61],"classification":[62],"methods.":[63],"Classification":[64],"with":[65],"low-dimensional":[66],"yields":[68],"performance":[69],"improvement":[70],"in":[71,96],"a":[72],"variety":[73],"settings.":[75],"This":[76],"indicates":[77],"that":[78],"is":[81],"an":[82],"effective":[83],"way":[84],"to":[85],"combat":[86],"curse":[88],"SER.":[92],"Visualization":[93],"features":[95],"dimensions":[98],"provides":[99],"insight":[100],"into":[101],"discriminatory":[102],"abilities":[103],"reduced":[105],"sets.":[107]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
