{"id":"https://openalex.org/W2963759317","doi":"https://doi.org/10.1109/iscslp.2018.8706632","title":"Deep Discriminant Analysis for i-vector Based Robust Speaker Recognition","display_name":"Deep Discriminant Analysis for i-vector Based Robust Speaker Recognition","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2963759317","doi":"https://doi.org/10.1109/iscslp.2018.8706632","mag":"2963759317"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp.2018.8706632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2018.8706632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP)","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/A5100328245","display_name":"Shuai Wang","orcid":"https://orcid.org/0000-0001-8897-9476"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210165726","display_name":"Shanghai Municipal Education Commission","ror":"https://ror.org/05tewj457","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210165456","https://openalex.org/I4210165726"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Wang","raw_affiliation_strings":["Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering SpeechLab, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering SpeechLab, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210165726","https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101619225","display_name":"Zili Huang","orcid":"https://orcid.org/0000-0003-1238-8017"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210165726","display_name":"Shanghai Municipal Education Commission","ror":"https://ror.org/05tewj457","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210165456","https://openalex.org/I4210165726"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zili Huang","raw_affiliation_strings":["Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering SpeechLab, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering SpeechLab, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210165726","https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341993","display_name":"Yanmin Qian","orcid":"https://orcid.org/0000-0002-0314-3790"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210165726","display_name":"Shanghai Municipal Education Commission","ror":"https://ror.org/05tewj457","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210165456","https://openalex.org/I4210165726"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanmin Qian","raw_affiliation_strings":["Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering SpeechLab, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering SpeechLab, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210165726","https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043098653","display_name":"Kai Yu","orcid":"https://orcid.org/0000-0002-7102-9826"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210165726","display_name":"Shanghai Municipal Education Commission","ror":"https://ror.org/05tewj457","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210165456","https://openalex.org/I4210165726"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Yu","raw_affiliation_strings":["Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering SpeechLab, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering SpeechLab, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210165726","https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8448,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81574675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"195","last_page":"199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991000294685364,"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":0.9858999848365784,"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/speaker-recognition","display_name":"Speaker recognition","score":0.7291048169136047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7087873220443726},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6606888771057129},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6421110033988953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5889129042625427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5474867224693298},{"id":"https://openalex.org/keywords/speaker-identification","display_name":"Speaker identification","score":0.5381518006324768},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4361031949520111}],"concepts":[{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.7291048169136047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7087873220443726},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6606888771057129},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6421110033988953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5889129042625427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5474867224693298},{"id":"https://openalex.org/C2986627078","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker identification","level":3,"score":0.5381518006324768},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4361031949520111}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp.2018.8706632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2018.8706632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W67277430","https://openalex.org/W204053250","https://openalex.org/W232876404","https://openalex.org/W1484305213","https://openalex.org/W1524333225","https://openalex.org/W1589137271","https://openalex.org/W1663973292","https://openalex.org/W2039057510","https://openalex.org/W2121647436","https://openalex.org/W2121812409","https://openalex.org/W2150769028","https://openalex.org/W2152051032","https://openalex.org/W2187089797","https://openalex.org/W2281877999","https://openalex.org/W2294814385","https://openalex.org/W2395750323","https://openalex.org/W2397703486","https://openalex.org/W2404617565","https://openalex.org/W2406312423","https://openalex.org/W2488005896","https://openalex.org/W2520774990","https://openalex.org/W2738829388","https://openalex.org/W2746762848","https://openalex.org/W2748318213","https://openalex.org/W2750097321","https://openalex.org/W2801798988","https://openalex.org/W2888968865","https://openalex.org/W2889519245","https://openalex.org/W2890654588","https://openalex.org/W2890964092","https://openalex.org/W2963068250","https://openalex.org/W3099832538","https://openalex.org/W6602762607","https://openalex.org/W6608353291","https://openalex.org/W6609126827","https://openalex.org/W6631362777","https://openalex.org/W6635152626","https://openalex.org/W6712389868","https://openalex.org/W6713727690","https://openalex.org/W6726946684"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W3147024994","https://openalex.org/W2249138175","https://openalex.org/W1521049138","https://openalex.org/W2154141294","https://openalex.org/W3035928819","https://openalex.org/W2548243992","https://openalex.org/W2573756443"],"abstract_inverted_index":{"Linear":[0],"Discriminant":[1],"Analysis":[2],"(LDA)":[3],"has":[4],"been":[5],"used":[6],"as":[7,49],"a":[8,32,43,80,114,123],"standard":[9],"post-processing":[10],"procedure":[11],"in":[12,100],"many":[13],"state-of-the-art":[14],"speaker":[15,57],"recognition":[16],"tasks.":[17],"Through":[18],"maximizing":[19],"the":[20,25,61,73,76,89,96,102,129,139],"inter-speaker":[21],"difference":[22],"and":[23,34,69,83,95,111],"minimizing":[24],"intra-speaker":[26],"variation,":[27],"LDA":[28,141],"projects":[29],"i-vectors":[30],"to":[31],"lower-dimensional":[33],"more":[35,81],"discriminative":[36,84],"subspace.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"propose":[42],"neural":[44],"network":[45],"based":[46,56,127],"compensation":[47],"scheme(termed":[48],"deep":[50],"discriminant":[51],"analysis,":[52],"DDA)":[53],"for":[54],"i-vector":[55],"recognition,":[58],"which":[59],"shares":[60],"idea":[62],"with":[63,88],"LDA.":[64],"Optimized":[65],"against":[66,138],"softmax":[67],"loss":[68,71],"center":[70],"at":[72],"same":[74],"time,":[75],"proposed":[77,103],"method":[78,104],"learns":[79],"compact":[82],"embedding":[85],"space.":[86],"Compared":[87],"Gaussian":[90],"distribution":[91],"assumption":[92],"of":[93],"data":[94,110],"learned":[97],"linear":[98],"projection":[99,116],"LDA,":[101],"doesn't":[105],"pose":[106],"any":[107],"assumptions":[108],"on":[109,122,128],"can":[112,135],"learn":[113],"non-linear":[115],"function.":[117],"Experiments":[118],"are":[119],"carried":[120],"out":[121],"short-duration":[124],"text-independent":[125],"dataset":[126],"SRE":[130],"Corpus,":[131],"noticeable":[132],"performance":[133],"improvement":[134],"be":[136],"observed":[137],"normal":[140],"or":[142],"PLDA":[143],"methods.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
