{"id":"https://openalex.org/W1979487413","doi":"https://doi.org/10.4304/jsw.9.11.2851-2860","title":"Factor analysis method for text-independent speaker identification","display_name":"Factor analysis method for text-independent speaker identification","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W1979487413","doi":"https://doi.org/10.4304/jsw.9.11.2851-2860","mag":"1979487413"},"language":"en","primary_location":{"id":"doi:10.4304/jsw.9.11.2851-2860","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.9.11.2851-2860","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-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/A5100442006","display_name":"Tingting Liu","orcid":"https://orcid.org/0000-0002-0606-7308"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Liu","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045108617","display_name":"Shengxiao Guan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shengxiao Guan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4142,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73013978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":"11","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9871000051498413,"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":0.9664999842643738,"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":0.9095896482467651},{"id":"https://openalex.org/keywords/speaker-identification","display_name":"Speaker identification","score":0.7088912129402161},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.6687296628952026},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6215640306472778},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5063401460647583},{"id":"https://openalex.org/keywords/speaker-verification","display_name":"Speaker verification","score":0.4168212413787842},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4143497943878174},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4042249321937561},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38036757707595825},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07878729701042175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9095896482467651},{"id":"https://openalex.org/C2986627078","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker identification","level":3,"score":0.7088912129402161},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.6687296628952026},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6215640306472778},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5063401460647583},{"id":"https://openalex.org/C2982762665","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker verification","level":3,"score":0.4168212413787842},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4143497943878174},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4042249321937561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38036757707595825},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07878729701042175},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jsw.9.11.2851-2860","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.9.11.2851-2860","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W32979931","https://openalex.org/W67277430","https://openalex.org/W111477576","https://openalex.org/W1492587309","https://openalex.org/W1916834241","https://openalex.org/W1941420329","https://openalex.org/W1945356021","https://openalex.org/W2007266108","https://openalex.org/W2041823554","https://openalex.org/W2067244308","https://openalex.org/W2077835140","https://openalex.org/W2078953162","https://openalex.org/W2121415728","https://openalex.org/W2124112941","https://openalex.org/W2136879537","https://openalex.org/W2144760012","https://openalex.org/W2150769028","https://openalex.org/W2167861133","https://openalex.org/W2170065313","https://openalex.org/W2171225845","https://openalex.org/W2282078507","https://openalex.org/W2398362606","https://openalex.org/W2407374891","https://openalex.org/W2616400984","https://openalex.org/W4298164478","https://openalex.org/W6601396385","https://openalex.org/W6681075490","https://openalex.org/W6682600690","https://openalex.org/W6684746630","https://openalex.org/W6712660717","https://openalex.org/W6714259624"],"related_works":["https://openalex.org/W1491159402","https://openalex.org/W2150532155","https://openalex.org/W1521049138","https://openalex.org/W1516392727","https://openalex.org/W2140022733","https://openalex.org/W2154141294","https://openalex.org/W2611875816","https://openalex.org/W2548243992","https://openalex.org/W3035928819","https://openalex.org/W2573756443"],"abstract_inverted_index":{"Factor":[0],"analysis":[1],"method":[2],"offers":[3],"state-of-the-art":[4],"performance":[5],"in":[6,24,46,161,178],"speaker":[7,50],"identification":[8,104],"during":[9,84],"the":[10,22,47,54,58,85,115,121,156,159,179,182],"paper.":[11,183],"The":[12,149,165],"compact":[13],"representations":[14],"of":[15,49,57,151,158,169,181],"speakers":[16],"named":[17],"i-vectors":[18],"are":[19,82,130],"extracted":[20],"from":[21],"utterances":[23],"a":[25,35],"new":[26],"low":[27],"dimensional":[28],"speaker-":[29],"and":[30,77,127,171],"channel-dependent":[31],"space,":[32],"referred":[33],"to":[34,132,134],"total":[36],"variability":[37],"space.":[38],"LBG":[39],"algorithm":[40],"is":[41,107,174],"combined":[42,142],"with":[43,143],"fuzzy":[44],"theory":[45],"initialization":[48],"models\uff0cwhich":[51],"helps":[52],"improve":[53],"recognition":[55],"rate":[56],"system.":[59],"Channel":[60],"compensation":[61],"techniques,":[62],"such":[63],"as":[64,120],"Linear":[65],"Discriminate":[66],"Analysis":[67,71],"(LDA),":[68],"Principal":[69],"Component":[70],"(PCA),":[72],"Nuisance":[73],"Attribute":[74],"Projection":[75],"(NAP)":[76],"Within-class":[78],"Covariance":[79],"Normalization":[80],"(WCCN)":[81],"compared":[83],"experiment.":[86],"It":[87,138],"can":[88],"be":[89],"seen":[90],"that":[91,140],"LDA":[92],"followed":[93],"by":[94],"WCCN":[95],"achieves":[96],"satisfying":[97],"performance.":[98],"In":[99],"addition,":[100],"experiments":[101],"contrast":[102],"several":[103],"methods.":[105,137],"One":[106],"through":[108],"Support-Vector-Machine":[109],"(SVM),":[110],"another":[111],"one":[112],"directly":[113],"uses":[114],"cosine":[116],"distance":[117],"similarity":[118],"(CDS)":[119],"final":[122],"decision":[123],"score,":[124],"logarithmic":[125],"likelihood":[126],"vector":[128],"quantization":[129],"used":[131],"compare":[133],"above":[135],"two":[136],"demonstrates":[139],"CDS":[141],"score":[144],"normalization":[145],"obtains":[146],"better":[147],"result.":[148],"testing":[150,172],"mobile":[152],"phone":[153],"database":[154],"shows":[155],"robustness":[157],"system":[160],"complex":[162],"channel":[163],"environment.":[164],"graphical":[166],"user":[167],"interface":[168],"training":[170],"module":[173],"simulated":[175],"on":[176],"MATLAB":[177],"end":[180]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
