{"id":"https://openalex.org/W4206320030","doi":"https://doi.org/10.1109/ialp54817.2021.9675271","title":"Research on Depression Recognition Using Machine Learning from Speech","display_name":"Research on Depression Recognition Using Machine Learning from Speech","publication_year":2021,"publication_date":"2021-12-11","ids":{"openalex":"https://openalex.org/W4206320030","doi":"https://doi.org/10.1109/ialp54817.2021.9675271"},"language":"en","primary_location":{"id":"doi:10.1109/ialp54817.2021.9675271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp54817.2021.9675271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Asian Language Processing (IALP)","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/A5085489048","display_name":"Daimin Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Daimin Shi","raw_affiliation_strings":["School of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112306287","display_name":"Xiaoyong Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyong Lu","raw_affiliation_strings":["School of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001823198","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-8956-8214"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["School of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071836230","display_name":"Jingyi Yuan","orcid":"https://orcid.org/0000-0002-2850-1582"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Yuan","raw_affiliation_strings":["School of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101730105","display_name":"Tao Pan","orcid":"https://orcid.org/0000-0001-9333-1412"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Pan","raw_affiliation_strings":["Lanzhou Resources and Environment Voc-Tech College, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou Resources and Environment Voc-Tech College, Lanzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035817377","display_name":"Yanqin Li","orcid":"https://orcid.org/0000-0001-5107-1296"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqin Li","raw_affiliation_strings":["School of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, China","institution_ids":["https://openalex.org/I68986083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5085489048"],"corresponding_institution_ids":["https://openalex.org/I68986083"],"apc_list":null,"apc_paid":null,"fwci":1.455,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82772272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9934999942779541,"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":0.9934999942779541,"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/T12488","display_name":"Mental Health via Writing","score":0.975600004196167,"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"}},{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.9199000000953674,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied 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/mean-squared-error","display_name":"Mean squared error","score":0.671047568321228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6619113683700562},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.626245379447937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5891543626785278},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5476677417755127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5153390765190125},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.493767112493515},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4914363622665405},{"id":"https://openalex.org/keywords/beck-depression-inventory","display_name":"Beck Depression Inventory","score":0.471016526222229},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.4330092966556549},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42719486355781555},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35444313287734985},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24738821387290955},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2300713062286377},{"id":"https://openalex.org/keywords/anxiety","display_name":"Anxiety","score":0.20101019740104675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16013696789741516},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1036996841430664},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.09385702013969421}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.671047568321228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6619113683700562},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.626245379447937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5891543626785278},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5476677417755127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5153390765190125},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.493767112493515},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4914363622665405},{"id":"https://openalex.org/C2779631380","wikidata":"https://www.wikidata.org/wiki/Q813655","display_name":"Beck Depression Inventory","level":3,"score":0.471016526222229},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.4330092966556549},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42719486355781555},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35444313287734985},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24738821387290955},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2300713062286377},{"id":"https://openalex.org/C558461103","wikidata":"https://www.wikidata.org/wiki/Q154430","display_name":"Anxiety","level":2,"score":0.20101019740104675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16013696789741516},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1036996841430664},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.09385702013969421},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp54817.2021.9675271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp54817.2021.9675271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2043265425","https://openalex.org/W2089566187","https://openalex.org/W2166259822","https://openalex.org/W2396946830","https://openalex.org/W2464330126","https://openalex.org/W2753249047","https://openalex.org/W2754563085","https://openalex.org/W2771135288","https://openalex.org/W2786863597","https://openalex.org/W2883764413","https://openalex.org/W2909369566","https://openalex.org/W2914070767","https://openalex.org/W2946585360","https://openalex.org/W2957822178","https://openalex.org/W2964999703","https://openalex.org/W3007368335","https://openalex.org/W3094074504","https://openalex.org/W6661209629","https://openalex.org/W6748013090"],"related_works":["https://openalex.org/W3008339103","https://openalex.org/W2404647514","https://openalex.org/W1667647204","https://openalex.org/W3119814709","https://openalex.org/W2018477250","https://openalex.org/W35919320","https://openalex.org/W1508895727","https://openalex.org/W4241418540","https://openalex.org/W2725786787","https://openalex.org/W4283160672"],"abstract_inverted_index":{"The":[0,172],"lack":[1],"of":[2,26,48,80,90,103,133,138,162,170],"objective":[3,41],"measures":[4],"causes":[5],"the":[6,46,65,69,77,88,93,101,106,115,131,154,181,188],"most":[7],"treatable":[8],"mental":[9],"illness,":[10],"depression":[11,34,58,149],"to":[12,32,38,185],"be":[13],"often":[14],"under-diagnosed.":[15],"Recent":[16],"studies":[17,45],"have":[18],"shown":[19,124],"that":[20,125,196],"speech":[21,37],"is":[22,85,144],"a":[23,30,145],"good":[24,98,146],"indicator":[25],"depression,":[27],"giving":[28],"us":[29],"motivation":[31],"perform":[33],"diagnosis":[35],"using":[36,60,130],"create":[39,192],"an":[40,193],"measure.":[42],"This":[43],"paper":[44],"use":[47],"state-of-the-art":[49,178],"machine":[50],"learning":[51],"(ML)":[52],"models":[53],"including":[54],"ensemble":[55],"in":[56],"predicting":[57],"severity":[59],"audio":[61,70],"features":[62],"after":[63],"optimizing":[64],"data.":[66],"We":[67],"collect":[68],"data":[71],"from":[72],"Northwest":[73],"Normal":[74],"University":[75],"and":[76,114,164,191],"classic":[78],"paradigm":[79],"psychological":[81],"self-reference":[82],"effect":[83],"(SRE)":[84],"used.":[86],"In":[87,100,180],"task":[89,102],"vocabulary":[91],"reading,":[92],"SVM":[94],"model":[95,108,147],"achieved":[96],"very":[97],"performance.":[99],"image":[104],"description,":[105],"DT":[107],"was":[109],"better":[110,175],"than":[111,176],"other":[112,177],"models,":[113],"F1":[116,161],"score":[117],"reached":[118],"0.71.":[119],"Our":[120],"work":[121],"has":[122],"successfully":[123],"Random":[126],"Forest":[127],"(RF)":[128],"trained":[129],"mean":[132,160],"Zero-crossing":[134],"Rate,":[135],"Energy,":[136,139],"Entropy":[137],"Spectral":[140,142],"Centroid,":[141],"Spread":[143],"for":[148],"prediction,":[150],"which":[151],"can":[152],"predict":[153],"Beck":[155],"Depression":[156],"Inventory":[157],"(BDI-II)":[158],"at":[159],"0.71":[163],"Root":[165],"Mean":[166],"Square":[167],"Error":[168],"(RMSE)":[169],"4.21.":[171],"results":[173],"are":[174],"models.":[179],"future,":[182],"we":[183],"aim":[184],"further":[186],"verify":[187],"model's":[189],"correctness":[190],"autonomous":[194],"agent":[195],"could":[197],"help":[198],"depressed":[199],"patients.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-14T08:36:36.166977","created_date":"2025-10-10T00:00:00"}