{"id":"https://openalex.org/W2593232476","doi":"https://doi.org/10.1109/icdsp.2016.7868523","title":"A robust DBN-vector based speaker verification system under channel mismatch conditions","display_name":"A robust DBN-vector based speaker verification system under channel mismatch conditions","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2593232476","doi":"https://doi.org/10.1109/icdsp.2016.7868523","mag":"2593232476"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2016.7868523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2016.7868523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100445449","display_name":"Dawei Wang","orcid":"https://orcid.org/0000-0002-8670-1961"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"D. S. Wang","raw_affiliation_strings":["ADSPLAB/ELIP, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ADSPLAB/ELIP, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006791117","display_name":"Yue Zou","orcid":"https://orcid.org/0000-0003-0968-1386"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Y. X. Zou","raw_affiliation_strings":["ADSPLAB/ELIP, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ADSPLAB/ELIP, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361699","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0001-8697-3089"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"J. H. Liu","raw_affiliation_strings":["ADSPLAB/ELIP, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ADSPLAB/ELIP, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101781829","display_name":"Yen-Hsiang Huang","orcid":"https://orcid.org/0009-0004-8959-7399"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Y. C. Huang","raw_affiliation_strings":["ADSPLAB/ELIP, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ADSPLAB/ELIP, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"73","issue":null,"first_page":"94","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9976000189781189,"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":0.9868000149726868,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7011930346488953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5195520520210266},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.5175577998161316},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4300828278064728},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.417207270860672},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3945770263671875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3427124619483948},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07115501165390015}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7011930346488953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5195520520210266},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.5175577998161316},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4300828278064728},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.417207270860672},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3945770263671875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3427124619483948},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07115501165390015}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2016.7868523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2016.7868523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W15066456","https://openalex.org/W1006777433","https://openalex.org/W1813659000","https://openalex.org/W2012352340","https://openalex.org/W2020024436","https://openalex.org/W2041823554","https://openalex.org/W2046056978","https://openalex.org/W2069976350","https://openalex.org/W2090861223","https://openalex.org/W2116064496","https://openalex.org/W2124537004","https://openalex.org/W2137075158","https://openalex.org/W2141778357","https://openalex.org/W2146621297","https://openalex.org/W2150769028","https://openalex.org/W2187089797","https://openalex.org/W2284628133","https://openalex.org/W2395750323","https://openalex.org/W6638304892","https://openalex.org/W6695553435"],"related_works":["https://openalex.org/W2585432886","https://openalex.org/W2165991108","https://openalex.org/W3082895349","https://openalex.org/W2565516711","https://openalex.org/W3004069267","https://openalex.org/W4327774331","https://openalex.org/W3136021864","https://openalex.org/W2572334665","https://openalex.org/W2248239756","https://openalex.org/W3040832198"],"abstract_inverted_index":{"Channel":[0],"variability":[1],"is":[2,65,91,110,129,144,185,196],"one":[3],"of":[4,168,211],"the":[5,15,26,42,60,72,95,104,107,136,152,166,169,199],"largest":[6],"challenges":[7],"for":[8,146,172],"speaker":[9,74,173],"verification":[10,162],"(SV)":[11],"techniques.":[12],"Techniques":[13],"in":[14,209],"feature,":[16],"model":[17],"and":[18,100,149,216],"score":[19],"domains":[20],"have":[21,177],"been":[22,178],"applied":[23],"to":[24,34,67,71,112,151,159,187,198],"mitigate":[25],"channel":[27,206],"impact.":[28],"In":[29,57,103,135],"this":[30],"paper,":[31],"we":[32],"strive":[33],"study":[35],"on":[36,181],"robust":[37],"deep":[38,43,77,114],"feature":[39],"learning":[40],"with":[41],"belief":[44],"network":[45],"(DBN)":[46],"by":[47,93,131],"using":[48],"traditional":[49],"spectral":[50,69],"features":[51,70,78,115],"such":[52],"as":[53],"MFCC":[54],"or":[55],"PLP.":[56],"detail,":[58],"during":[59],"training":[61],"phase,":[62,106,138],"a":[63,161],"DBN":[64,109],"trained":[66],"map":[68],"corresponding":[73],"identity,":[75],"then":[76,123],"extracted":[79,145],"at":[80,116],"k":[81,90,117,124,139,154],"<sup":[82,118,125,140,155],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[83,119,126,141,156],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">th</sup>":[84,120,127,142,157],"hidden":[85,121],"layers":[86],"are":[87],"selected":[88],"where":[89],"determined":[92],"maximizing":[94],"ratio":[96],"between":[97],"within-class":[98],"distance":[99],"between-class":[101],"distance.":[102],"enrollment":[105],"well-trained":[108],"used":[111],"extract":[113],"layers,":[122],"-DBN-vector":[128,143,158],"formed":[130],"averaging":[132],"these":[133],"features.":[134],"test":[137,147],"utterance":[148],"compared":[150],"enrolled":[153],"make":[160],"decision.":[163],"To":[164],"validate":[165],"effectiveness":[167],"learned":[170],"DBN-vectors":[171],"verification,":[174],"extensive":[175],"experiments":[176],"purposely":[179],"conducted":[180],"Mandarin":[182],"corpuses.":[183],"It":[184],"encouraged":[186],"see":[188],"that":[189],"our":[190],"proposed":[191],"DBN-vector":[192],"based":[193,202],"SV":[194,203],"system":[195,204],"superior":[197],"state-of-the-art":[200],"i-vector":[201],"under":[205],"mismatch":[207],"conditions":[208],"terms":[210],"equal":[212],"error":[213],"rate":[214],"(EER)":[215],"minimum":[217],"detection":[218],"cost":[219],"function":[220],"(minDCF).":[221]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}