{"id":"https://openalex.org/W2998343426","doi":"https://doi.org/10.1587/transfun.2019eal2104","title":"On the Complementary Role of DNN Multi-Level Enhancement for Noisy Robust Speaker Recognition in an I-Vector Framework","display_name":"On the Complementary Role of DNN Multi-Level Enhancement for Noisy Robust Speaker Recognition in an I-Vector Framework","publication_year":2019,"publication_date":"2019-12-31","ids":{"openalex":"https://openalex.org/W2998343426","doi":"https://doi.org/10.1587/transfun.2019eal2104","mag":"2998343426"},"language":"en","primary_location":{"id":"doi:10.1587/transfun.2019eal2104","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transfun.2019eal2104","pdf_url":null,"source":{"id":"https://openalex.org/S166990724","display_name":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","issn_l":"0916-8508","issn":["0916-8508","1745-1337"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences","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/A5100432035","display_name":"Xingyu Zhang","orcid":"https://orcid.org/0000-0002-5718-781X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xingyu ZHANG","raw_affiliation_strings":["Lab of Intelligent Information Processing, Army Engineering University"],"affiliations":[{"raw_affiliation_string":"Lab of Intelligent Information Processing, Army Engineering University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015867024","display_name":"Xia Zou","orcid":"https://orcid.org/0000-0002-0114-1265"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia ZOU","raw_affiliation_strings":["Lab of Intelligent Information Processing, Army Engineering University"],"affiliations":[{"raw_affiliation_string":"Lab of Intelligent Information Processing, Army Engineering University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085248515","display_name":"Meng Sun","orcid":"https://orcid.org/0000-0002-7435-3752"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng SUN","raw_affiliation_strings":["Lab of Intelligent Information Processing, Army Engineering University"],"affiliations":[{"raw_affiliation_string":"Lab of Intelligent Information Processing, Army Engineering University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004583496","display_name":"Penglong Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Penglong WU","raw_affiliation_strings":["Lab of Intelligent Information Processing, Army Engineering University"],"affiliations":[{"raw_affiliation_string":"Lab of Intelligent Information Processing, Army Engineering University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384240","display_name":"Yi\u2010Min Wang","orcid":"https://orcid.org/0009-0008-7292-0670"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin WANG","raw_affiliation_strings":["College of Communication Engineering, Army Engineering University"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Army Engineering University","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101628872","display_name":"Jun He","orcid":"https://orcid.org/0000-0001-5201-4445"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun HE","raw_affiliation_strings":["Institution of Information & Communication, National University of Defense Technology"],"affiliations":[{"raw_affiliation_string":"Institution of Information & Communication, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100432035"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17553042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"E103.A","issue":"1","first_page":"356","last_page":"360"},"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":0.9994999766349792,"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":0.9897000193595886,"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/speech-recognition","display_name":"Speech recognition","score":0.6359248757362366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.629307746887207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6093743443489075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.535163402557373},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.44970768690109253},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4378568232059479}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6359248757362366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.629307746887207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6093743443489075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.535163402557373},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.44970768690109253},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4378568232059479}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transfun.2019eal2104","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transfun.2019eal2104","pdf_url":null,"source":{"id":"https://openalex.org/S166990724","display_name":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","issn_l":"0916-8508","issn":["0916-8508","1745-1337"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1491108479","https://openalex.org/W1506140669","https://openalex.org/W2041823554","https://openalex.org/W2117011797","https://openalex.org/W2150769028","https://openalex.org/W2242685705","https://openalex.org/W2407127962","https://openalex.org/W2516764878","https://openalex.org/W2726515241","https://openalex.org/W2750097321","https://openalex.org/W2808631503","https://openalex.org/W2896462747","https://openalex.org/W2917209806","https://openalex.org/W2963127163"],"related_works":["https://openalex.org/W2345184372","https://openalex.org/W3013515612","https://openalex.org/W2136184105","https://openalex.org/W2187500075","https://openalex.org/W2041399278","https://openalex.org/W2336974148","https://openalex.org/W2056016498","https://openalex.org/W2389470892","https://openalex.org/W4293087713","https://openalex.org/W4205671340"],"abstract_inverted_index":{"In":[0,25,94],"order":[1,95],"to":[2,96,133,183],"improve":[3,135],"the":[4,36,53,65,73,81,84,89,98,136,142,145,157,171,174],"noise":[5,165],"robustness":[6],"of":[7,35,38,64,76,83,88,91,100,108,116],"automatic":[8],"speaker":[9,50,66,167],"recognition,":[10],"many":[11],"techniques":[12],"on":[13,141],"speech/feature":[14],"enhancement":[15,31,42,57,163],"have":[16,149],"been":[17],"explored":[18],"by":[19],"using":[20],"deep":[21],"neural":[22],"networks":[23],"(DNN).":[24],"this":[26],"work,":[27],"a":[28,161],"DNN":[29],"multi-level":[30],"(DNN-ME),":[32],"which":[33,79],"consists":[34],"stages":[37,63],"signal":[39],"enhancement,":[40,45],"cepstrum":[41],"and":[43,86,113],"i-vector":[44,172],"is":[46,70,130],"proposed":[47,125],"for":[48,164],"text-independent":[49],"recognition.":[51,168],"Given":[52],"fact":[54],"that":[55,151],"these":[56,77],"methods":[58,109],"are":[59,118],"applied":[60,132],"in":[61,126,144],"different":[62,92],"recognition":[67],"pipeline,":[68],"it":[69],"worth":[71],"exploring":[72],"complementary":[74],"role":[75],"methods,":[78],"benefits":[80],"understanding":[82],"pros":[85],"cons":[87],"enhancements":[90],"stages.":[93],"use":[97],"capabilities":[99],"DNN-ME":[101,112,152],"as":[102,104],"much":[103],"possible,":[105],"two":[106],"kinds":[107],"called":[110],"Cascaded":[111],"joint":[114],"input":[115],"DNNs":[117],"studied.":[119],"Weighted":[120],"Gaussian":[121],"mixture":[122],"models":[123],"(WGMMs)":[124],"our":[127],"previous":[128],"work":[129],"also":[131],"further":[134],"model's":[137],"performance.":[138],"Experiments":[139],"conducted":[140],"Speakers":[143],"Wild":[146],"(SITW)":[147],"database":[148],"shown":[150],"demonstrated":[153],"significant":[154],"superiority":[155],"over":[156],"systems":[158],"with":[159,170],"only":[160],"single":[162],"robust":[166],"Compared":[169],"baseline,":[173],"equal":[175],"error":[176],"rate":[177],"(EER)":[178],"was":[179],"reduced":[180],"from":[181],"5.75":[182],"4.01.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
