{"id":"https://openalex.org/W4366380742","doi":"https://doi.org/10.1145/3584376.3584453","title":"Autoencoder Based on Vmd and Mutual Information to Detect Depression from speech","display_name":"Autoencoder Based on Vmd and Mutual Information to Detect Depression from speech","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4366380742","doi":"https://doi.org/10.1145/3584376.3584453"},"language":"en","primary_location":{"id":"doi:10.1145/3584376.3584453","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018899132","display_name":"Huanan Wu","orcid":"https://orcid.org/0000-0003-1190-6353"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanan Wu","raw_affiliation_strings":["College of Electronics and Information Engineering, Guangxi Normal University, China"],"raw_orcid":"https://orcid.org/0000-0001-5929-0266","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Guangxi Normal University, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026477717","display_name":"Weiping Hu","orcid":"https://orcid.org/0000-0002-3567-6516"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Hu","raw_affiliation_strings":["College of Electronics and Information Engineering, Guangxi Normal University, China"],"raw_orcid":"https://orcid.org/0000-0002-3567-6516","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Guangxi Normal University, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040871421","display_name":"Deli Fu","orcid":"https://orcid.org/0000-0003-2073-3191"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deli Fu","raw_affiliation_strings":["College of Electronics and Information Engineering, Guangxi Normal University, China"],"raw_orcid":"https://orcid.org/0000-0003-2073-3191","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Guangxi Normal University, China","institution_ids":["https://openalex.org/I29739308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5771,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71460073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"424","last_page":"428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9914000034332275,"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":0.9914000034332275,"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":0.9380999803543091,"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/T12488","display_name":"Mental Health via Writing","score":0.9254999756813049,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/autoencoder","display_name":"Autoencoder","score":0.7587537169456482},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6790637969970703},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5912955403327942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5839473009109497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5742620825767517},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5275411605834961},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5177135467529297},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48115408420562744},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4547653794288635},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4251788854598999},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.33630019426345825}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7587537169456482},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6790637969970703},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5912955403327942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5839473009109497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5742620825767517},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5275411605834961},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5177135467529297},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48115408420562744},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4547653794288635},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4251788854598999},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33630019426345825},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584376.3584453","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1972723949","https://openalex.org/W2000982976","https://openalex.org/W2065337312","https://openalex.org/W2994403800","https://openalex.org/W3097543391","https://openalex.org/W3101908127","https://openalex.org/W4206191327","https://openalex.org/W4210891529","https://openalex.org/W6600021361"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W4317383455","https://openalex.org/W2548511587","https://openalex.org/W4293232884","https://openalex.org/W2422472940","https://openalex.org/W2019475500","https://openalex.org/W2548162870","https://openalex.org/W2138847091"],"abstract_inverted_index":{"Depression":[0],"is":[1,42,48,63,95],"a":[2,18,30],"common":[3,19],"mental":[4,20],"illness.":[5],"Because":[6],"of":[7,75,90],"its":[8],"high":[9,13],"recurrence":[10],"rate":[11],"and":[12,36,56,60,77,82,109,123,126,131],"hazards,":[14],"it":[15,62],"has":[16],"become":[17],"disorder":[21],"that":[22,32],"plagues":[23],"people.":[24],"In":[25],"response":[26],"to":[27,65,97],"this":[28,93],"problem,":[29],"model":[31,70],"optimizes":[33],"the":[34,45,67,72,98,106,110,120,124],"signal":[35,47],"then":[37,61],"extracts":[38],"deep":[39,79],"depression":[40,80],"features":[41],"proposed.":[43],"Firstly,":[44],"optimized":[46],"obtained":[49],"by":[50],"using":[51],"variational":[52],"mode":[53],"decomposition":[54],"(VMD)":[55],"mutual":[57],"information":[58],"(MI),":[59],"necessary":[64],"select":[66],"BiGRU":[68],"autoencoder":[69],"with":[71],"optimal":[73],"number":[74],"layers":[76],"extract":[78],"features,":[81],"finally":[83],"use":[84],"SVM":[85],"for":[86],"identification,":[87],"in":[88],"terms":[89],"classification":[91],"rate,":[92],"feature":[94,112],"superior":[96],"mel":[99],"frequency":[100],"inversion":[101],"coefficient":[102],"(MFCC)":[103],"extracted":[104],"from":[105],"original":[107],"speech,":[108],"ComParE":[111],"set":[113],"(IS09-emotion).":[114],"This":[115],"paper":[116],"conducts":[117],"experiments":[118],"on":[119],"DAIC-WOZ":[121],"dataset,":[122],"accuracy":[125],"F1":[127],"score":[128],"are":[129],"78.95%":[130],"76.54%,":[132],"respectively.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
