{"id":"https://openalex.org/W1873885720","doi":"https://doi.org/10.1109/icassp.1982.1171489","title":"Speaker recognition using a feature weighting technique","display_name":"Speaker recognition using a feature weighting technique","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1873885720","doi":"https://doi.org/10.1109/icassp.1982.1171489","mag":"1873885720"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1982.1171489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5112501010","display_name":"Hermann Ney","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162505","display_name":"Philips (Germany)","ror":"https://ror.org/05san5604","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210162505"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"H. Ney","raw_affiliation_strings":["Philips GmbH Forschungslaboratorium Hamburg, Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Philips GmbH Forschungslaboratorium Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I4210162505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039562388","display_name":"R. Gierloff","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162505","display_name":"Philips (Germany)","ror":"https://ror.org/05san5604","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210162505"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"R. Gierloff","raw_affiliation_strings":["Philips GmbH Forschungslaboratorium Hamburg, Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Philips GmbH Forschungslaboratorium Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I4210162505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112501010"],"corresponding_institution_ids":["https://openalex.org/I4210162505"],"apc_list":null,"apc_paid":null,"fwci":0.3179,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.54570766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"1645","last_page":"1648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9975000023841858,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9975000023841858,"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":0.9889000058174133,"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/T10860","display_name":"Speech and Audio Processing","score":0.9763000011444092,"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/weighting","display_name":"Weighting","score":0.8623948097229004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7665387392044067},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6900261044502258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5762912034988403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5702268481254578},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5006587505340576},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4730108082294464},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.452565461397171},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4516250491142273},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4229829013347626},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4164923131465912},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33911871910095215}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8623948097229004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7665387392044067},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6900261044502258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5762912034988403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5702268481254578},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5006587505340576},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4730108082294464},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.452565461397171},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4516250491142273},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4229829013347626},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4164923131465912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33911871910095215},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1982.1171489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2120996511","https://openalex.org/W2128160875","https://openalex.org/W2137199074","https://openalex.org/W2148245460","https://openalex.org/W2160784155","https://openalex.org/W2162256359"],"related_works":["https://openalex.org/W2283145973","https://openalex.org/W1612029326","https://openalex.org/W4297807400","https://openalex.org/W1491159402","https://openalex.org/W4313854686","https://openalex.org/W321304764","https://openalex.org/W2249138175","https://openalex.org/W3162054169","https://openalex.org/W1813780412","https://openalex.org/W4386564352"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,10,34,38,79,128,132,137,183,221,246],"technique":[4,21],"for":[5,66,83,187,253],"increasing":[6],"the":[7,29,42,46,49,60,69,73,89,95,98,109,116,140,146,153,158,169,188,195,209,242],"ability":[8,96],"of":[9,48,54,72,88,97,139,143,145,161,166,197,199,224,248],"text-dependent":[11],"speaker":[12,18,103,254,257],"recognition":[13,50],"system":[14,51,74],"to":[15,23,94,100,182,206],"discriminate":[16],"between":[17,33,102,127],"classes;":[19],"this":[20,167],"is":[22,75,81,178,202],"be":[24],"performed":[25],"in":[26,77,204],"conjunction":[27],"with":[28],"nonlinear":[30,124],"time":[31,61,110,125],"alignment":[32,126],"reference":[35,91,129,147],"pattern":[36,92,130,134],"and":[37,56,131,215,237,256],"test":[39,133],"pattern.":[40],"Unlike":[41],"standard":[43],"approach,":[44],"where":[45],"training":[47,63,70],"merely":[52],"consists":[53],"storing":[55],"averaging":[57],"or":[58,250],"selecting":[59,216],"normalized":[62],"patterns":[64],"separately":[65],"each":[67,84,151],"class,":[68,152],"phase":[71],"extended":[76],"that":[78,180,234],"weight":[80],"determined":[82],"individual":[85],"feature":[86,99,213,235,238],"component":[87],"complete":[90],"according":[93],"distinguish":[101],"classes.":[104],"The":[105,119,212,231],"weights":[106,144,155],"depend":[107],"on":[108,115,192],"axis":[111],"as":[112,114],"well":[113],"frequency":[117],"axis.":[118],"overall":[120],"distance":[121],"computed":[122],"after":[123],"thus":[135],"becomes":[136],"function":[138],"given":[141],"set":[142],"class":[148,210],"considered.":[149],"For":[150],"optimum":[154],"result":[156],"from":[157,185],"ideal":[159],"criterion":[160,177],"minimum":[162],"error":[163,243],"rate.":[164],"Instead":[165],"criterion,":[168],"closely":[170],"related":[171],"but":[172],"mathematically":[173],"more":[174,251],"convenient":[175],"Fisher":[176],"used":[179],"leads":[181],"closed":[184],"solution":[186],"unknown":[189],"weights.":[190],"Based":[191],"these":[193],"weights,":[194],"selection":[196,239],"subsets":[198],"effective":[200],"features":[201],"studied":[203],"order":[205],"further":[207],"improve":[208],"discrimination.":[211],"weighting":[214,236],"techniques":[217],"are":[218],"tested":[219],"using":[220],"data":[222],"base":[223],"utterances":[225],"recorded":[226],"off":[227],"dialed-up":[228],"telephone":[229],"lines.":[230],"experiments":[232],"indicate":[233],"can":[240],"reduce":[241],"rates":[244],"by":[245],"factor":[247],"two":[249],"both":[252],"identification":[255],"verification.":[258]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
