乐胖代购免代理版

{"id":"https://openalex.org/W2188632665","doi":"https://doi.org/10.21437/odyssey.2014-11","title":"Local Variability Modeling for Text-Independent Speaker Verification","display_name":"Local Variability Modeling for Text-Independent Speaker Verification","publication_year":2014,"publication_date":"2014-06-16","ids":{"openalex":"https://openalex.org/W2188632665","doi":"https://doi.org/10.21437/odyssey.2014-11","mag":"2188632665"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.21437/odyssey.2014-11","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5004287909","display_name":"Kong Aik Lee","orcid":"https://orcid.org/0000-0001-9133-3000"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kong Aik Lee","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749735","display_name":"Bin Ma","orcid":"https://orcid.org/0000-0002-9223-9654"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Ma","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032690182","display_name":"Haizhou Li","orcid":"https://orcid.org/0000-0001-9158-9401"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haizhou Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430201","display_name":"Liping Chen","orcid":"https://orcid.org/0009-0003-6453-5645"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liping Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038369085","display_name":"Wu Guo","orcid":"https://orcid.org/0000-0002-3779-7944"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu Guo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057227915","display_name":"Li-Rong Dai","orcid":"https://orcid.org/0000-0002-0859-2827"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lirong Dai","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.984,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.717166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":82,"max":83},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"59"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998,"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":0.9998,"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":0.997,"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":0.9873,"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/nist","display_name":"NIST","score":0.6459101},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.5325766},{"id":"https://openalex.org/keywords/hidden-variable-theory","display_name":"Hidden variable theory","score":0.47695506}],"concepts":[{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.68096316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6498243},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.6459101},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5576719},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5562348},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5325766},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.52118224},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4955176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48785114},{"id":"https://openalex.org/C137002209","wikidata":"https://www.wikidata.org/wiki/Q898521","display_name":"Hidden variable theory","level":3,"score":0.47695506},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.45484483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4041854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22393957},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.21437/odyssey.2014-11","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":17,"referenced_works":["https://openalex.org/W1662191912","https://openalex.org/W1663973292","https://openalex.org/W1916834241","https://openalex.org/W2023238506","https://openalex.org/W2064364374","https://openalex.org/W2101261946","https://openalex.org/W2112582577","https://openalex.org/W2121812409","https://openalex.org/W2143054781","https://openalex.org/W2150769028","https://openalex.org/W2154278880","https://openalex.org/W2395750323","https://openalex.org/W2397336997","https://openalex.org/W2404874347","https://openalex.org/W2406312423","https://openalex.org/W2407252160","https://openalex.org/W3145164839"],"related_works":["https://openalex.org/W2962775488","https://openalex.org/W2412815366","https://openalex.org/W2381158726","https://openalex.org/W2379906719","https://openalex.org/W2181956362","https://openalex.org/W2129090883","https://openalex.org/W2113046264","https://openalex.org/W1992796048","https://openalex.org/W1516392727","https://openalex.org/W1197719229"],"abstract_inverted_index":{"Total":[0],"variability":[1,54,67,94],"model":[2,55],"(TVM)":[3],"was":[4],"recently":[5],"proposed":[6,128],"for":[7,44,111,132],"the":[8,18,26,52,57,65,73,80,85,90,100,127],"compression":[9],"of":[10,29,60,88],"speech":[11,30],"utterances":[12],"to":[13,25,63,108],"low":[14],"dimensional":[15],"vectors":[16],"(i.e.,":[17],"so-call":[19],"identity":[20],"vector":[21],"or":[22],"i-vector).":[23],"Compared":[24],"variable-length":[27],"nature":[28],"utterances,":[31],"i-vectors":[32],"have":[33],"fixed":[34],"length":[35],"and":[36,92,96,105,122],"therefore":[37],"could":[38],"be":[39],"used":[40],"with":[41,69],"simple":[42],"classifiers":[43],"text-independent":[45],"speaker":[46,133],"verification":[47],"task.":[48],"This":[49],"paper":[50],"proposes":[51],"local":[53,66,93],"(LVM),":[56],"central":[58],"idea":[59],"which":[61],"is":[62,130],"capture":[64],"associated":[68],"individual":[70],"Gaussians":[71],"in":[72,79],"acoustic":[74],"space":[75],"that":[76,98,126],"are":[77],"absent":[78],"i-vector":[81],"representation.":[82],"We":[83],"analyze":[84],"latent":[86,101],"structure":[87],"both":[89],"total":[91],"models":[95],"show":[97,125],"tying":[99],"variable":[102,115],"across":[103],"frames":[104],"mixtures":[106],"leads":[107],"powerful":[109],"methods":[110],"extracting":[112],"information":[113],"from":[114],"sequences.":[116],"Experimental":[117],"results":[118],"on":[119],"NIST":[120],"SRE\u201908":[121],"SRE\u201910":[123],"datasets":[124],"LVM":[129],"effective":[131],"verifi":[134]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2188632665","counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2025-04-19T22:14:38.669320","created_date":"2016-06-24"}