{"id":"https://openalex.org/W2050516975","doi":"https://doi.org/10.1109/iscslp.2014.6936603","title":"Speaker verification based on SVM and total variability","display_name":"Speaker verification based on SVM and total variability","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2050516975","doi":"https://doi.org/10.1109/iscslp.2014.6936603","mag":"2050516975"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp.2014.6936603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2014.6936603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Symposium on Chinese Spoken Language Processing","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5100394037","display_name":"Sheng Zhang","orcid":"https://orcid.org/0000-0003-0385-2113"},"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":"Sheng Zhang","raw_affiliation_strings":["Electronic Engineering and Information Science Department, University of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Engineering and Information Science Department, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101912102","display_name":"Jie Xu","orcid":"https://orcid.org/0000-0002-3137-6348"},"institutions":[{"id":"https://openalex.org/I4210087772","display_name":"National Computer Network Emergency Response Technical Team/Coordination Center of Chinar","ror":"https://ror.org/00247dh76","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210087772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Xu","raw_affiliation_strings":["National Computer Network Emergency Response Technical Team Coordination Center of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Computer Network Emergency Response Technical Team Coordination Center of China, China","institution_ids":["https://openalex.org/I4210087772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038369085","display_name":"Wu Guo","orcid":"https://orcid.org/0000-0002-3779-7944"},"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":"Wu Guo","raw_affiliation_strings":["Electronic Engineering and Information Science Department, University of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Engineering and Information Science Department, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076447478","display_name":"Guoping Hu","orcid":"https://orcid.org/0000-0002-7939-4588"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guoping Hu","raw_affiliation_strings":["IFLYTEK, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IFLYTEK, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100536761","display_name":"Xiaokong Ma","orcid":null},"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":"Xiaokong Ma","raw_affiliation_strings":["Electronic Engineering and Information Science Department, University of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Engineering and Information Science Department, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"418","last_page":"418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.8895000219345093,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.8895000219345093,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.8600999712944031,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.838699996471405,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.8150454759597778},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7545515298843384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.740090012550354},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6739729642868042},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6553103923797607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5771856307983398},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5227815508842468},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4664689004421234},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.44090038537979126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18026766180992126}],"concepts":[{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.8150454759597778},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7545515298843384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.740090012550354},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6739729642868042},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6553103923797607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5771856307983398},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5227815508842468},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4664689004421234},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.44090038537979126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18026766180992126},{"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:10.1109/iscslp.2014.6936603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2014.6936603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Symposium on Chinese Spoken Language Processing","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2106922437","https://openalex.org/W2158491338","https://openalex.org/W2133733652","https://openalex.org/W2606392311","https://openalex.org/W4385956668","https://openalex.org/W2900895161","https://openalex.org/W2539884462","https://openalex.org/W2735628018","https://openalex.org/W2118039276","https://openalex.org/W2078150608"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given.":[3],"The":[4,41,69,93],"total":[5,47],"variability":[6,48],"factor":[7],"extractor":[8],"followed":[9],"by":[10,131],"the":[11,19,33,46,53,56,59,77,81,98,105,113,119,125],"probability":[12],"linear":[13],"discriminant":[14],"analysis":[15],"(PLDA)":[16],"has":[17],"been":[18],"state":[20],"of":[21,45,55,84,101,104,116,124],"art":[22],"algorithm":[23],"in":[24],"text-independent":[25],"speaker":[26],"verification.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31],"use":[32],"Support":[34],"Vector":[35],"Machine":[36],"(SVM)":[37],"to":[38,65],"replace":[39],"PLDA.":[40],"low":[42],"dimensional":[43],"i-vectors":[44],"system":[49,127],"are":[50,95],"used":[51],"as":[52],"inputs":[54],"SVM,":[57],"and":[58,86,134,140],"cosine":[60],"kernel":[61],"function":[62,122],"is":[63],"adopted":[64],"achieve":[66,73],"better":[67,91],"discrimination.":[68],"proposed":[70],"method":[71],"can":[72,88,128],"comparative":[74],"performance":[75],"with":[76,112],"PLDA":[78,87],"system.":[79],"Furthermore,":[80],"score":[82],"fusion":[83,126],"SVM":[85],"obtain":[89],"even":[90],"results.":[92],"experiments":[94],"conducted":[96],"on":[97],"female":[99],"part":[100],"interview":[102],"section":[103],"NIST":[106],"2012":[107],"core":[108],"test":[109],"corpus.":[110],"Compared":[111],"best":[114],"results":[115],"single":[117],"system,":[118],"detection":[120],"cost":[121],"(DCF)":[123],"be":[129],"reduced":[130],"25.1":[132],"%":[133],"25.2%":[135],"for":[136],"common":[137,141],"condition":[138,142],"1":[139],"3,":[143],"relatively.":[144]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
