{"id":"https://openalex.org/W140968602","doi":"https://doi.org/10.21437/icslp.2000-310","title":"Foldering voicemail messages by caller using text independent speaker recognition","display_name":"Foldering voicemail messages by caller using text independent speaker recognition","publication_year":2000,"publication_date":"2000-10-16","ids":{"openalex":"https://openalex.org/W140968602","doi":"https://doi.org/10.21437/icslp.2000-310","mag":"140968602"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.2000-310","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2000-310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Spoken Language Processing (ICSLP 2000)","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/A5025786251","display_name":"A. E. Rosenberg","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aaron E. Rosenberg","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056896484","display_name":"S. Parthasarathy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Parthasarathy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045037642","display_name":"Julia Hirschberg","orcid":"https://orcid.org/0000-0003-0689-7616"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Julia Hirschberg","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030311164","display_name":"Stephen G. Whittaker","orcid":"https://orcid.org/0000-0002-9588-0340"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stephen Whittaker","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":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"vol. 2, 474","last_page":"478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991999864578247,"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":0.9991999864578247,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.6858859658241272},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.661785364151001},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6298486590385437},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.5273657441139221},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5029703974723816},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4583001732826233},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3451865315437317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3332677483558655},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32305362820625305},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24290016293525696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10861960053443909},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09540760517120361}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858859658241272},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.661785364151001},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6298486590385437},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.5273657441139221},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5029703974723816},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4583001732826233},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3451865315437317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3332677483558655},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32305362820625305},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24290016293525696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10861960053443909},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09540760517120361},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/icslp.2000-310","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2000-310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Spoken Language Processing (ICSLP 2000)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W1981634138"],"related_works":["https://openalex.org/W2964976023","https://openalex.org/W1982477181","https://openalex.org/W2403083015","https://openalex.org/W4285488523","https://openalex.org/W2011367623","https://openalex.org/W2734065904","https://openalex.org/W2027125286","https://openalex.org/W2049289069","https://openalex.org/W2809078847","https://openalex.org/W2067843453"],"abstract_inverted_index":{"The":[0,45,83,125,205],"ability":[1,87],"to":[2,88,90,119,191],"automatically":[3,24],"scan":[4],"voicemail":[5,26,134],"messages":[6,27,116,135,161],"for":[7,47,59],"content":[8],"and":[9,53,94,121,213],"caller":[10,29,56,75,123],"identity":[11],"cues":[12],"would":[13],"be":[14],"a":[15,21,60,68,106,131,177],"useful":[16],"service.":[17],"This":[18],"paper":[19],"describes":[20],"system":[22,126],"which":[23],"files":[25],"into":[28],"folders":[30],"using":[31],"text":[32],"independent":[33],"speaker":[34],"recognition":[35],"techniques.":[36],"Callers":[37],"are":[38,117,180,202],"represented":[39],"by":[40],"Gaussian":[41],"mixture":[42],"models":[43,57],"(GMM\u2019s).":[44],"speech":[46],"an":[48,91],"incoming":[49],"message":[50,63,93,208,217,230],"is":[51,70,79,148,196,211,224,233],"processed":[52],"scored":[54],"against":[55],"created":[58],"subscriber.":[61],"A":[62,140,169],"whose":[64],"matching":[65,74],"score":[66],"exceeds":[67],"threshold":[69,188],"filed":[71],"in":[72,97,167],"the":[73,86,98,203,214,221,227],"folder;":[76],"otherwise":[77],"it":[78,96,102,110],"tagged":[80],"as":[81,150,182],"\u201cunknown\u201d.":[82],"subscriber":[84,114],"has":[85,127,156],"listen":[89],"\u201cunknown\u201d":[92],"file":[95],"proper":[99],"folder,":[100,108],"if":[101,109],"exists,":[103],"or":[104,164],"create":[105],"new":[107],"does":[111],"not.":[112],"Such":[113],"labelled":[115],"used":[118],"train":[120],"adapt":[122],"models.":[124],"been":[128],"evaluated":[129],"on":[130],"database":[132,147],"of":[133,142,153,172],"collected":[136],"at":[137,158],"AT&T":[138],"Labs.":[139],"set":[141,171,190],"20":[143,160],"callers":[144,155],"from":[145,176],"this":[146],"designated":[149,181],"\u201cingroup\u201d.":[151],"Each":[152],"these":[154],"recorded":[157],"least":[159],"totalling":[162],"10":[163],"more":[165],"minutes":[166],"duration.":[168],"distinct":[170],"220":[173],"messages,":[174],"each":[175],"dierent":[178],"caller,":[179],"\u201coutgroup\u201d.":[183],"Representative":[184],"performance":[185],"figures":[186],"with":[187,199],"parameters":[189],"ensure":[192],"that":[193],"outgroup":[194,229],"acceptance":[195],"low":[197],"compared":[198],"ingroup":[200,207,216],"rejection":[201,209],"following.":[204],"average":[206,215,228],"rate":[210,219,232],"11.0%":[212],"confusion":[218],"(matching":[220],"wrong":[222],"caller)":[223],"1.0%,":[225],"while":[226],"accept":[231],"2.7%.":[234]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
