{"id":"https://openalex.org/W2801581493","doi":"https://doi.org/10.1109/icassp.2018.8461423","title":"Unsupervised Domain Adaptation via Domain Adversarial Training for Speaker Recognition","display_name":"Unsupervised Domain Adaptation via Domain Adversarial Training for Speaker Recognition","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2801581493","doi":"https://doi.org/10.1109/icassp.2018.8461423","mag":"2801581493"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5107808955","display_name":"Qing Wang","orcid":"https://orcid.org/0009-0008-5449-4815"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Wang","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035226758","display_name":"Wei Rao","orcid":"https://orcid.org/0000-0002-7237-0874"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wei Rao","raw_affiliation_strings":["Temasek Laboratories, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Temasek Laboratories, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102880200","display_name":"Sining Sun","orcid":"https://orcid.org/0000-0002-2642-5096"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sining Sun","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112363488","display_name":"Leib Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leib Xie","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070872826","display_name":"Eng Siong Chng","orcid":"https://orcid.org/0000-0001-6257-7399"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Eng Siong Chng","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032690182","display_name":"Haizhou Li","orcid":"https://orcid.org/0000-0001-9158-9401"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haizhou Li","raw_affiliation_strings":["Temasek Laboratories, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Temasek Laboratories, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.5576,"has_fulltext":false,"cited_by_count":151,"citation_normalized_percentile":{"value":0.99194131,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4889","last_page":"4893"},"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":0.9919000267982483,"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":0.9702000021934509,"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/computer-science","display_name":"Computer science","score":0.7819353342056274},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7403386831283569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6502150297164917},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6149196028709412},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5824530124664307},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5596315860748291},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5533376932144165},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49985575675964355},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47487279772758484},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.46900200843811035},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.433709055185318},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3595929741859436},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.26709219813346863},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1278298795223236},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.1251755952835083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7819353342056274},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7403386831283569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6502150297164917},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6149196028709412},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5824530124664307},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5596315860748291},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5533376932144165},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49985575675964355},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47487279772758484},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.46900200843811035},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.433709055185318},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3595929741859436},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26709219813346863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1278298795223236},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.1251755952835083},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8461423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W123007118","https://openalex.org/W866349134","https://openalex.org/W1480629789","https://openalex.org/W1882958252","https://openalex.org/W2004497042","https://openalex.org/W2046015436","https://openalex.org/W2067301010","https://openalex.org/W2101261946","https://openalex.org/W2121812409","https://openalex.org/W2150769028","https://openalex.org/W2165698076","https://openalex.org/W2181594395","https://openalex.org/W2360384684","https://openalex.org/W2395750323","https://openalex.org/W2510867321","https://openalex.org/W2517850878","https://openalex.org/W2559975580","https://openalex.org/W2587088898","https://openalex.org/W2962679215","https://openalex.org/W2963826681","https://openalex.org/W2998115938","https://openalex.org/W6623950054","https://openalex.org/W6628623136","https://openalex.org/W6637618735","https://openalex.org/W6639480849","https://openalex.org/W6677847058"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W3034688404","https://openalex.org/W4312246223","https://openalex.org/W2899666933","https://openalex.org/W4289294429","https://openalex.org/W2949100517"],"abstract_inverted_index":{"The":[0],"i-vector":[1,105],"approach":[2,106],"to":[3,19,42,52,76,107],"speaker":[4,108],"recognition":[5,109],"has":[6],"achieved":[7],"good":[8],"performance":[9,43],"when":[10],"the":[11,14,22,35,54,78,83,88,94,135,144,151],"domain":[12,61,66,79,85,101,113,128,154],"of":[13,21],"evaluation":[15,38],"dataset":[16,116,132,145],"is":[17,30,138],"similar":[18],"that":[20,40,134],"training":[23,36,68],"dataset.":[24],"However,":[25],"in":[26,142],"realworld":[27],"applications,":[28],"there":[29],"always":[31],"a":[32,72],"mismatch":[33,146],"between":[34],"and":[37,56,81,122],"datasets,":[39],"leads":[41],"degradation.":[44],"To":[45],"address":[46],"this":[47,49],"problem,":[48,147],"paper":[50],"proposes":[51],"learn":[53],"domain-invariant":[55],"speaker-discriminative":[57],"speech":[58],"representations":[59],"via":[60],"adversarial":[62,67],"training.":[63],"Specifically,":[64],"with":[65,97],"method,":[69],"we":[70,92],"use":[71],"gradient":[73],"reversal":[74],"layer":[75],"remove":[77],"variation":[80],"project":[82],"different":[84],"data":[86],"into":[87],"same":[89],"subspace.":[90],"Moreover,":[91],"compare":[93],"proposed":[95,136],"method":[96,137],"other":[98],"state-of-the-art":[99],"unsupervised":[100,153],"adaptation":[102,129,155],"techniques":[103],"for":[104],"(e.g.":[110],"autoencoder":[111],"based":[112],"adaptation,":[114],"inter":[115],"variability":[117],"compensation,":[118],"dataset-invariant":[119],"covariance":[120],"normalization,":[121],"so":[123],"on).":[124],"Experiments":[125],"on":[126],"2013":[127],"challenge":[130],"(DAC)":[131],"demonstrate":[133],"not":[139],"only":[140],"effective":[141],"solving":[143],"but":[148],"also":[149],"outperforms":[150],"compared":[152],"methods.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":45},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
