{"id":"https://openalex.org/W2395936365","doi":"https://doi.org/10.21437/interspeech.2011-746","title":"Automatic detection of depression in speech using Gaussian mixture modeling with factor analysis","display_name":"Automatic detection of depression in speech using Gaussian mixture modeling with factor analysis","publication_year":2011,"publication_date":"2011-08-27","ids":{"openalex":"https://openalex.org/W2395936365","doi":"https://doi.org/10.21437/interspeech.2011-746","mag":"2395936365"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2011-746","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2011-746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2011","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/A5108709283","display_name":"Douglas Sturim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Douglas Sturim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019071194","display_name":"Pedro A. Torres\u2010Carrasquillo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pedro A. Torres-Carrasquillo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009507416","display_name":"Thomas F. Quatieri","orcid":"https://orcid.org/0000-0003-1925-6340"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas F. Quatieri","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045426515","display_name":"Nicolas Malyska","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicolas Malyska","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5047531480","display_name":"Alan McCree","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alan McCree","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.2326,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.97910078,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2981","last_page":"2984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9891999959945679,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9891999959945679,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9866999983787537,"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/T13289","display_name":"Infant Health and Development","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6094294786453247},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5075823068618774},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.50223708152771},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5014011859893799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44965386390686035},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44960126280784607},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3533519506454468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6094294786453247},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5075823068618774},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.50223708152771},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5014011859893799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44965386390686035},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44960126280784607},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3533519506454468},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2011-746","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2011-746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2011","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.375.3980","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.375.3980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ll.mit.edu/mission/communications/publications/publication-files/full_papers/2011_06_28_SturimD_Interspeech_FP.pdf.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W34842755","https://openalex.org/W1543974205","https://openalex.org/W2017065688","https://openalex.org/W2041823554","https://openalex.org/W2057393928","https://openalex.org/W2079076391","https://openalex.org/W2087589285","https://openalex.org/W2124295269","https://openalex.org/W2125168896","https://openalex.org/W2136879537","https://openalex.org/W2144760012","https://openalex.org/W2146610201","https://openalex.org/W2148822124","https://openalex.org/W2149492631","https://openalex.org/W2159011576","https://openalex.org/W2172110927","https://openalex.org/W2404632011"],"related_works":["https://openalex.org/W4235530921","https://openalex.org/W2033914206","https://openalex.org/W2146076056","https://openalex.org/W2163831990","https://openalex.org/W2954309397","https://openalex.org/W1562793155","https://openalex.org/W2003627431","https://openalex.org/W2076520961","https://openalex.org/W2107898784","https://openalex.org/W2433217581"],"abstract_inverted_index":{"Abstract":[0],"1":[1],"Of":[2],"increasing":[3],"importance":[4],"in":[5],"the":[6,12,25,31,49],"civilian":[7],"and":[8,22,62],"military":[9],"population":[10],"is":[11],"recognition":[13],"of":[14,27,33,37,44,52,68,81],"Major":[15],"Depressive":[16],"Disorder":[17],"at":[18],"its":[19],"earliest":[20],"stages":[21],"intervention":[23],"before":[24],"onset":[26],"severe":[28],"symptoms.":[29],"Toward":[30],"goal":[32],"more":[34],"effective":[35],"monitoring":[36],"depression":[38,45,85,95,107],"severity,":[39],"we":[40,74,112],"investigate":[41],"automatic":[42],"classifiers":[43],"state,":[46],"that":[47,100],"have":[48],"important":[50],"property":[51],"mitigating":[53,102],"nuisances":[54],"due":[55],"to":[56,66],"data":[57],"variability,":[58],"such":[59],"as":[60,109],"speaker":[61],"channel":[63],"effects,":[64],"unrelated":[65],"levels":[67],"depression.":[69],"To":[70],"assess":[71],"our":[72],"measures,":[73],"use":[75],"a":[76,87,110],"35-speaker":[77],"free-response":[78],"speech":[79],"database":[80],"subjects":[82],"treated":[83],"for":[84],"over":[86,118],"six-week":[88],"duration,":[89],"along":[90],"with":[91],"standard":[92],"clinical":[93],"HAMD":[94],"ratings.":[96],"Preliminary":[97],"experiments":[98],"indicate":[99],"by":[101],"nuisances,":[103],"thus":[104],"focusing":[105],"on":[106],"severity":[108],"class,":[111],"can":[113],"significantly":[114],"improve":[115],"classification":[116],"accuracy":[117],"baseline":[119],"Gaussian-mixture-model-based":[120],"classifiers.":[121],"Index":[122],"Terms:":[123],"major":[124],"depressive":[125],"disorder,":[126],"Gaussian-mixture":[127],"models,":[128],"joint":[129],"factor":[130],"analysis,":[131],"nuisance":[132],"mitigation":[133]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":12}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
