{"id":"https://openalex.org/W97705053","doi":"https://doi.org/10.21437/eurospeech.2003-770","title":"Automatic estimation of perceptual age using speaker modeling techniques","display_name":"Automatic estimation of perceptual age using speaker modeling techniques","publication_year":2003,"publication_date":"2003-09-01","ids":{"openalex":"https://openalex.org/W97705053","doi":"https://doi.org/10.21437/eurospeech.2003-770","mag":"97705053"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2003-770","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5041213266","display_name":"Nobuaki Minematsu","orcid":"https://orcid.org/0000-0002-8778-9555"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nobuaki Minematsu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111392892","display_name":"Keita Yamauchi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keita Yamauchi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108197272","display_name":"Keikichi Hirose","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keikichi Hirose","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3005","last_page":"3008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9879999756813049,"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":0.9879999756813049,"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":0.9833999872207642,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.761125385761261},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6844263672828674},{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.6290743350982666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6042155623435974},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5832251310348511},{"id":"https://openalex.org/keywords/speech-perception","display_name":"Speech perception","score":0.4617604911327362},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.43312543630599976},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4310087561607361},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.41165751218795776},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2885567545890808},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25032854080200195},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.12067323923110962},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08440721035003662}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.761125385761261},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6844263672828674},{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.6290743350982666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6042155623435974},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5832251310348511},{"id":"https://openalex.org/C99209842","wikidata":"https://www.wikidata.org/wiki/Q643696","display_name":"Speech perception","level":3,"score":0.4617604911327362},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.43312543630599976},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4310087561607361},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.41165751218795776},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2885567545890808},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25032854080200195},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.12067323923110962},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08440721035003662},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/eurospeech.2003-770","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7699999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W165321141","https://openalex.org/W1529191184","https://openalex.org/W1571223402","https://openalex.org/W2065361420"],"related_works":["https://openalex.org/W2317723112","https://openalex.org/W2475724061","https://openalex.org/W2773393136","https://openalex.org/W2174706483","https://openalex.org/W2997121352","https://openalex.org/W419536403","https://openalex.org/W2506280730","https://openalex.org/W4237969969","https://openalex.org/W1594297642","https://openalex.org/W2366328218"],"abstract_inverted_index":{"This":[0,165],"paper":[1,166],"proposes":[2],"a":[3,40,130],"technique":[4],"to":[5,30,50,55,171],"estimate":[6,56],"speakers\u2019":[7],"perceptual":[8,66,98,111,151,177],"age":[9,47,58,67,80,99,112,152],"automatically":[10],"only":[11,59],"with":[12,39],"acoustic":[13],"information":[14],"of":[15,23,34,44,68,88,100,109,113,132,135,175],"their":[16],"utterances.":[17],"Firstly,":[18],"we":[19],"experimentally":[20],"collected":[21],"data":[22],"how":[24],"old":[25],"individual":[26,70],"speakers":[27,38,71,90,117],"in":[28,74,118],"databasessound":[29],"listeners.":[31],"Speech":[32],"samples":[33],"approximately":[35],"500":[36],"male":[37],"very":[41],"wide":[42],"range":[43],"the":[45,57,63,65,69,82,89,97,110,115,119,122,136,150,155,162,176],"real":[46],"were":[48,53],"presented":[49],"listeners,":[51],"who":[52],"asked":[54],"by":[60,94,154,161],"hearing.":[61],"Using":[62],"results,":[64],"was":[72,91,104,127,146],"defined":[73],"two":[75],"ways":[76],"as":[77,106,129,139],"label":[78],"(averaged":[79],"over":[81],"listeners)":[83],"and":[84,158],"distribution.":[85],"Then,":[86],"each":[87],"acoustically":[92],"modeled":[93],"GMMs.":[95],"Finally,":[96],"an":[101],"input":[102,137],"speaker":[103,125,138,140],"estimated":[105,153,160],"weighted":[107],"sum":[108],"all":[114],"other":[116],"databases,":[120],"where":[121],"weight":[123],"for":[124],"i":[126],"calculated":[128],"function":[131],"likelihood":[133],"score":[134],"i.":[141],"Experiments":[142],"showed":[143],"that":[144,159],"correlation":[145],"about":[147],"0.9":[148],"between":[149],"listening":[156],"test":[157],"proposed":[163],"method.":[164],"also":[167],"introduces":[168],"some":[169],"techniques":[170],"realize":[172],"robust":[173],"estimation":[174],"age.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
