{"id":"https://openalex.org/W2406759365","doi":"https://doi.org/10.21437/interspeech.2013-248","title":"Auditory detectability of vocal ageing and its effect on forensic automatic speaker recognition","display_name":"Auditory detectability of vocal ageing and its effect on forensic automatic speaker recognition","publication_year":2013,"publication_date":"2013-08-25","ids":{"openalex":"https://openalex.org/W2406759365","doi":"https://doi.org/10.21437/interspeech.2013-248","mag":"2406759365"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2013-248","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2013-248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2013","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/A5087883012","display_name":"Finnian Kelly","orcid":null},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Finnian Kelly","raw_affiliation_strings":["Trinity College Dublin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Trinity College Dublin","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042231269","display_name":"Naomi Harte","orcid":"https://orcid.org/0000-0002-9274-209X"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Naomi Harte","raw_affiliation_strings":["Trinity College Dublin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Trinity College Dublin","institution_ids":["https://openalex.org/I205274468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205274468"],"apc_list":null,"apc_paid":null,"fwci":0.4576,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63948627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2846","last_page":"2850"},"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":0.9983999729156494,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9940999746322632,"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/speech-recognition","display_name":"Speech recognition","score":0.6694177985191345},{"id":"https://openalex.org/keywords/ageing","display_name":"Ageing","score":0.6202853918075562},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.6130576133728027},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.6094732880592346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4393531382083893},{"id":"https://openalex.org/keywords/audiology","display_name":"Audiology","score":0.3446514904499054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2037670910358429},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0992799699306488}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6694177985191345},{"id":"https://openalex.org/C500499127","wikidata":"https://www.wikidata.org/wiki/Q332154","display_name":"Ageing","level":2,"score":0.6202853918075562},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.6130576133728027},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.6094732880592346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4393531382083893},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.3446514904499054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2037670910358429},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0992799699306488},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2013-248","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2013-248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2013","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W176898517","https://openalex.org/W607654222","https://openalex.org/W648424690","https://openalex.org/W655565512","https://openalex.org/W1486632395","https://openalex.org/W1503293410","https://openalex.org/W1831892686","https://openalex.org/W1987847367","https://openalex.org/W2000573327","https://openalex.org/W2003200396","https://openalex.org/W2032313192","https://openalex.org/W2041823554","https://openalex.org/W2051641451","https://openalex.org/W2056751378","https://openalex.org/W2065802107","https://openalex.org/W2079442839","https://openalex.org/W2080382335","https://openalex.org/W2083555831","https://openalex.org/W2115149622","https://openalex.org/W2154278880","https://openalex.org/W2156665852","https://openalex.org/W2156841861","https://openalex.org/W2395243990","https://openalex.org/W2404248608","https://openalex.org/W2405308213"],"related_works":["https://openalex.org/W4297807400","https://openalex.org/W1491159402","https://openalex.org/W4313854686","https://openalex.org/W2249138175","https://openalex.org/W3162054169","https://openalex.org/W1813780412","https://openalex.org/W289407349","https://openalex.org/W2029134149","https://openalex.org/W2368768466","https://openalex.org/W2757081366"],"abstract_inverted_index":{"The":[0],"comparison":[1],"of":[2,45,55,61,73,80,93,100,121,151,159,166,185],"non-contemporary":[3,27,145],"speech":[4],"samples":[5,28,146],"is":[6,34,85,88,105,118,130],"common":[7],"in":[8,135],"forensic":[9,37,68,194],"speaker":[10,39,70,196],"recognition":[11,71],"cases.":[12],"It":[13,87],"has":[14],"yet":[15],"to":[16,20,51,63,82,113],"be":[17],"established":[18],"however,":[19],"what":[21],"extent":[22],"the":[23,53,97,110,122,125,141,156],"time":[24,142],"interval":[25,111,143,150],"between":[26,144],"can":[29],"increase":[30],"before":[31],"a":[32,46,67,133,164,174,183],"problem":[33],"created":[35],"for":[36,155,193],"automatic":[38,69,126,195],"recognition.":[40,197],"This":[41],"paper":[42],"presents":[43],"results":[44],"human":[47],"listener":[48],"test":[49],"designed":[50],"evaluate":[52],"detectability":[54,99],"vocal":[56,101,116,128,188],"ageing":[57,75,102,117,129,189],"over":[58],"increasing":[59,78],"intervals":[60,79,92],"up":[62,81],"30":[64,114,152,186],"years.":[65],"Subsequently,":[66],"evaluation":[72],"15":[74],"males":[76],"at":[77,91,182],"60":[83],"years":[84],"presented.":[86],"shown":[89],"that":[90,181],"around":[94],"10":[95],"years,":[96,115,153,187],"average":[98],"by":[103],"humans":[104],"just":[106],"above":[107],"chance.":[108],"As":[109],"rises":[112],"detected":[119],"90%":[120],"time.":[123],"In":[124],"system,":[127],"manifested":[131],"as":[132,140,170],"drop":[134],"intra-speaker":[136,160],"likelihood":[137],"ratios":[138],"(LRs)":[139],"increases.":[147],"At":[148],"an":[149],"LRs":[154],"vast":[157],"majority":[158],"comparisons":[161],"fall":[162],"below":[163],"value":[165],"100":[167],"commonly":[168],"interpreted":[169],"\u2018moderate":[171],"support\u2019":[172],"on":[173],"verbal":[175],"LR":[176],"scale.":[177],"Our":[178],"findings":[179],"indicate":[180],"time-lapse":[184],"creates":[190],"significant":[191],"problems":[192]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
