{"id":"https://openalex.org/W2401809795","doi":"https://doi.org/10.21437/interspeech.2015-103","title":"Exploring ANN back-ends for i-vector based speaker age estimation","display_name":"Exploring ANN back-ends for i-vector based speaker age estimation","publication_year":2015,"publication_date":"2015-09-06","ids":{"openalex":"https://openalex.org/W2401809795","doi":"https://doi.org/10.21437/interspeech.2015-103","mag":"2401809795"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2015-103","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2015","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/A5026526523","display_name":"Anna Fedorova","orcid":null},"institutions":[{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]},{"id":"https://openalex.org/I4210107997","display_name":"Finland University","ror":"https://ror.org/014rks409","country_code":"FI","type":"education","lineage":["https://openalex.org/I4210107997"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Anna Fedorova","raw_affiliation_strings":["University of Eastern Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Eastern Finland","institution_ids":["https://openalex.org/I175532246","https://openalex.org/I4210107997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008717681","display_name":"Ond\u0159ej Glembek","orcid":null},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Ond\u0159ej Glembek","raw_affiliation_strings":["Brno University of Technology;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brno University of Technology;","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043168931","display_name":"Tomi Kinnunen","orcid":"https://orcid.org/0000-0002-4371-7322"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomi Kinnunen","raw_affiliation_strings":["Joensuu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Joensuu","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076315361","display_name":"Pavel Mat\u011bjka","orcid":null},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Pavel Mat\u011bjka","raw_affiliation_strings":["Brno University of Technology;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brno University of Technology;","institution_ids":["https://openalex.org/I60587646"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3036","last_page":"3040"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"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/T11309","display_name":"Music and Audio Processing","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6447373032569885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6350622177124023},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5948787927627563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4522540867328644},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17236846685409546}],"concepts":[{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6447373032569885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6350622177124023},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5948787927627563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4522540867328644},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17236846685409546},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/interspeech.2015-103","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2015","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.709.801","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.709.801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.uef.fi/sipu/pub/IS150735.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.717.7037","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.717.7037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.joensuu.fi/pages/tkinnu/webpage/pdf/is2015_ageivector.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W46096063","https://openalex.org/W232876404","https://openalex.org/W1498436455","https://openalex.org/W1568229137","https://openalex.org/W1838165847","https://openalex.org/W1916834241","https://openalex.org/W1964357740","https://openalex.org/W1967990596","https://openalex.org/W1996601463","https://openalex.org/W2051669046","https://openalex.org/W2059673175","https://openalex.org/W2062294426","https://openalex.org/W2066561607","https://openalex.org/W2069620976","https://openalex.org/W2095705004","https://openalex.org/W2134389297","https://openalex.org/W2135293965","https://openalex.org/W2139534569","https://openalex.org/W2139749422","https://openalex.org/W2144513243","https://openalex.org/W2146194791","https://openalex.org/W2150769028","https://openalex.org/W2156876426","https://openalex.org/W2189248916","https://openalex.org/W2325167098","https://openalex.org/W2398177287"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"We":[0,10,27],"address":[1],"the":[2,83,90],"problem":[3],"of":[4,62,85],"speaker":[5],"age":[6,106],"estimation":[7],"using":[8],"i-vectors.":[9],"first":[11],"compare":[12],"different":[13],"i-vector":[14],"extraction":[15],"setups":[16],"and":[17,33,41,65],"then":[18],"focus":[19],"on":[20,38,101],"(shallow)":[21],"artificial":[22],"neural":[23],"net":[24],"(ANN)":[25],"back-ends.":[26],"explore":[28],"ANN":[29,34,51],"architecture,":[30],"training":[31],"algorithm":[32],"ensembles.":[35],"The":[36],"results":[37],"NIST":[39],"2008":[40],"2010":[42],"SRE":[43],"data":[44],"indicate":[45],"that,":[46],"after":[47],"extensive":[48],"parameter":[49],"optimization,":[50],"back-end":[52,86],"in":[53,74],"combination":[54],"with":[55],"i-vectors":[56],"reaches":[57],"mean":[58],"absolute":[59],"errors":[60],"(MAEs)":[61],"5.49":[63],"(females)":[64],"6.35":[66],"(males),":[67],"which":[68],"are":[69],"4.5":[70],"%":[71],"relative":[72],"improvement":[73],"comparison":[75],"to":[76],"our":[77],"support-vector":[78],"regression":[79],"(SVR)":[80],"baseline.":[81],"Hence,":[82],"choice":[84],"did":[87],"not":[88],"affect":[89],"accuracy":[91],"much;":[92],"a":[93],"suggested":[94],"future":[95],"direction":[96],"is":[97],"therefore":[98],"focusing":[99],"more":[100],"front-end":[102],"processing.":[103],"Index":[104],"Terms:":[105],"estimation,":[107],"i-vector,":[108],"multilayer":[109],"perceptron":[110],"1.":[111]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}