{"id":"https://openalex.org/W3025521026","doi":"https://doi.org/10.1109/coginfocom47531.2019.9089928","title":"A Comparative Analysis of Domain Adaptation Techniques for Recognition of Accented Speech","display_name":"A Comparative Analysis of Domain Adaptation Techniques for Recognition of Accented Speech","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3025521026","doi":"https://doi.org/10.1109/coginfocom47531.2019.9089928","mag":"3025521026"},"language":"en","primary_location":{"id":"doi:10.1109/coginfocom47531.2019.9089928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom47531.2019.9089928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","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/A5083854764","display_name":"Gyurgy Szaszaak","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gyurgy Szaszaak","raw_affiliation_strings":["Telepathy Labs GmbH, Z\u00a8rich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Telepathy Labs GmbH, Z\u00a8rich, Switzerland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088348371","display_name":"Piero Pierucci","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Piero Pierucci","raw_affiliation_strings":["Telepathy Labs GmbH, Z\u00a8rich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Telepathy Labs GmbH, Z\u00a8rich, Switzerland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083854764"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68299359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"259","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9987000226974487,"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/T10860","display_name":"Speech and Audio Processing","score":0.9983000159263611,"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":0.831976056098938},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6079879999160767},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.5966617465019226},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5603388547897339},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5156951546669006},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5077722668647766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49871349334716797},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45843440294265747},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4479118585586548},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40183842182159424},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3646043539047241}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.831976056098938},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6079879999160767},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.5966617465019226},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5603388547897339},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5156951546669006},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5077722668647766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49871349334716797},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45843440294265747},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4479118585586548},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40183842182159424},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3646043539047241},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coginfocom47531.2019.9089928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom47531.2019.9089928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W143957211","https://openalex.org/W173856587","https://openalex.org/W1494198834","https://openalex.org/W1513862252","https://openalex.org/W1524333225","https://openalex.org/W1971415293","https://openalex.org/W1989549063","https://openalex.org/W2079623482","https://openalex.org/W2080005694","https://openalex.org/W2113839990","https://openalex.org/W2120068245","https://openalex.org/W2128265796","https://openalex.org/W2213612645","https://openalex.org/W2239847623","https://openalex.org/W2394882406","https://openalex.org/W2402146185","https://openalex.org/W2560544917","https://openalex.org/W2568101174","https://openalex.org/W2746498480","https://openalex.org/W2749475572","https://openalex.org/W2786459654","https://openalex.org/W2787859844","https://openalex.org/W2888867175","https://openalex.org/W2890964092","https://openalex.org/W2911629330","https://openalex.org/W2945055878","https://openalex.org/W2962995362","https://openalex.org/W2964067969","https://openalex.org/W2981964706","https://openalex.org/W3125118953","https://openalex.org/W4237365104","https://openalex.org/W4238196140","https://openalex.org/W4242230814","https://openalex.org/W4293569503","https://openalex.org/W6607149552","https://openalex.org/W6630673164","https://openalex.org/W6631362777","https://openalex.org/W6677258307","https://openalex.org/W6712930963","https://openalex.org/W6762712825"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Addressing":[0],"the":[1,24,58,121,124,143,156,171],"domain":[2,67,115],"mismatch":[3],"problem":[4],"has":[5],"been":[6,34,55],"a":[7,112,133],"long":[8],"term":[9],"interest":[10],"within":[11,85,98],"cognitive":[12],"infocommunication.":[13],"In":[14],"particular,":[15],"several":[16],"techniques":[17,46,71,97,117],"to":[18,107,130],"compensate":[19],"for":[20,57,118,132,142],"dialectal":[21],"variations":[22],"of":[23,61,95,103,114],"same":[25,122],"base":[26],"language":[27],"in":[28,128],"Automatic":[29],"Speech":[30],"Recognition":[31],"(ASR)":[32],"have":[33,54],"proposed.":[35],"Conservative":[36],"retraining,":[37],"transfer":[38],"learning,":[39],"multi-task":[40],"training,":[41,53],"matrix":[42],"factorization,":[43],"i-vector":[44],"based":[45],"as":[47,49,75,170],"well":[48,169],"adversarial":[50],"and":[51,84,110,153,162],"teacher-student":[52],"proposed":[56],"specific":[59],"purpose":[60],"ASR":[62,119],"deep":[63],"neural":[64],"acoustic":[65,140],"models":[66,141],"adaptation.":[68],"Comparing":[69],"these":[70],"is":[72,89,106],"often":[73],"complicated":[74],"different":[76],"experiments":[77],"are":[78],"carried":[79],"out":[80],"on":[81,136],"diverse":[82],"datasets":[83],"various":[86],"frameworks.":[87],"It":[88],"also":[90],"worthwhile":[91],"analyzing":[92],"possible":[93],"combination":[94],"such":[96],"complex":[99,173],"systems.":[100],"The":[101],"objective":[102],"this":[104],"work":[105],"systematically":[108],"compare":[109],"analyse":[111],"number":[113],"adaptation":[116],"using":[120],"framework,":[123],"open-source":[125],"Kaldi":[126],"toolkit,":[127],"order":[129],"allow":[131],"fair":[134],"comparison":[135],"adapting":[137],"US":[138],"English":[139],"Indian":[144],"accent.":[145],"Our":[146],"results":[147],"indicate":[148],"that,":[149],"when":[150],"properly":[151],"hyper-parametrized":[152],"carefully":[154],"regularized,":[155],"easiest":[157],"approaches,":[158],"requiring":[159],"less":[160],"complexity":[161],"reduced":[163],"computational":[164],"power,":[165],"can":[166],"perform":[167],"equally":[168],"more":[172],"ones.":[174]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}