{"id":"https://openalex.org/W2914465356","doi":"https://doi.org/10.1109/slt.2018.8639689","title":"Exploring End-To-End Attention-Based Neural Networks For Native Language Identification","display_name":"Exploring End-To-End Attention-Based Neural Networks For Native Language Identification","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2914465356","doi":"https://doi.org/10.1109/slt.2018.8639689","mag":"2914465356"},"language":"en","primary_location":{"id":"doi:10.1109/slt.2018.8639689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2018.8639689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Spoken Language Technology Workshop (SLT)","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/A5030738204","display_name":"Rutuja Ubale","orcid":null},"institutions":[{"id":"https://openalex.org/I1341030882","display_name":"Educational Testing Service","ror":"https://ror.org/03b5q4637","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1341030882"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rutuja Ubale","raw_affiliation_strings":["Educational Testing Service Research, USA"],"affiliations":[{"raw_affiliation_string":"Educational Testing Service Research, USA","institution_ids":["https://openalex.org/I1341030882"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342006","display_name":"Yao Qian","orcid":"https://orcid.org/0000-0003-1855-9630"},"institutions":[{"id":"https://openalex.org/I1341030882","display_name":"Educational Testing Service","ror":"https://ror.org/03b5q4637","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1341030882"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yao Qian","raw_affiliation_strings":["Educational Testing Service Research, USA"],"affiliations":[{"raw_affiliation_string":"Educational Testing Service Research, USA","institution_ids":["https://openalex.org/I1341030882"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030816616","display_name":"Keelan Evanini","orcid":"https://orcid.org/0000-0003-4243-3376"},"institutions":[{"id":"https://openalex.org/I1341030882","display_name":"Educational Testing Service","ror":"https://ror.org/03b5q4637","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1341030882"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keelan Evanini","raw_affiliation_strings":["Educational Testing Service Research, USA"],"affiliations":[{"raw_affiliation_string":"Educational Testing Service Research, USA","institution_ids":["https://openalex.org/I1341030882"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030738204"],"corresponding_institution_ids":["https://openalex.org/I1341030882"],"apc_list":null,"apc_paid":null,"fwci":1.3031,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85825334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"84","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":1.0,"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":1.0,"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":0.9991999864578247,"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":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8364239931106567},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.6712039709091187},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.6241472363471985},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6119133830070496},{"id":"https://openalex.org/keywords/language-identification","display_name":"Language identification","score":0.578316330909729},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.5765615105628967},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5384551882743835},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5331888198852539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48179715871810913},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4439615309238434},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4241005480289459},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3839854896068573},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.2994194030761719}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8364239931106567},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.6712039709091187},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.6241472363471985},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6119133830070496},{"id":"https://openalex.org/C129792486","wikidata":"https://www.wikidata.org/wiki/Q1050419","display_name":"Language identification","level":3,"score":0.578316330909729},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.5765615105628967},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5384551882743835},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5331888198852539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48179715871810913},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4439615309238434},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4241005480289459},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3839854896068573},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2994194030761719},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/slt.2018.8639689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2018.8639689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W153989523","https://openalex.org/W331796780","https://openalex.org/W1514535095","https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W2108563286","https://openalex.org/W2114925438","https://openalex.org/W2133564696","https://openalex.org/W2327501763","https://openalex.org/W2508694887","https://openalex.org/W2513006551","https://openalex.org/W2513366685","https://openalex.org/W2513507089","https://openalex.org/W2513797604","https://openalex.org/W2515121265","https://openalex.org/W2516947558","https://openalex.org/W2584329820","https://openalex.org/W2745665026","https://openalex.org/W2750499125","https://openalex.org/W2786839803","https://openalex.org/W2787734627","https://openalex.org/W2901997113","https://openalex.org/W2944440087","https://openalex.org/W2962742956","https://openalex.org/W2962824709","https://openalex.org/W2962893195","https://openalex.org/W2962959915","https://openalex.org/W2963288440","https://openalex.org/W2963609956","https://openalex.org/W2963747784","https://openalex.org/W2964121744","https://openalex.org/W2964243274","https://openalex.org/W2964272710","https://openalex.org/W2964308564","https://openalex.org/W2964309797","https://openalex.org/W2969945254","https://openalex.org/W4294619417","https://openalex.org/W6606199742","https://openalex.org/W6611429183","https://openalex.org/W6630875275","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6676018521","https://openalex.org/W6679434410","https://openalex.org/W6726265082","https://openalex.org/W6743440867","https://openalex.org/W6745983287","https://openalex.org/W6747158283","https://openalex.org/W6756197946","https://openalex.org/W6766816269"],"related_works":["https://openalex.org/W2916997151","https://openalex.org/W2949174760","https://openalex.org/W1998541766","https://openalex.org/W2064542902","https://openalex.org/W2262900283","https://openalex.org/W178568469","https://openalex.org/W4386302218","https://openalex.org/W2098508228","https://openalex.org/W2954811041","https://openalex.org/W4205371571"],"abstract_inverted_index":{"Automatic":[0],"identification":[1,90],"of":[2,67,94,107,144],"speakers'":[3],"native":[4,88,105],"language":[5,14,26,74,89,106],"(L1)":[6],"based":[7],"on":[8,83,91],"their":[9],"speech":[10,31,68,133],"in":[11,39,45,56,64],"a":[12,17,57,92],"second":[13],"(L2)":[15],"is":[16,60],"challenging":[18],"research":[19],"problem":[20],"that":[21,122],"can":[22,102,127],"aid":[23],"several":[24],"spoken":[25,73],"technologies":[27],"such":[28],"as":[29],"automatic":[30],"recognition":[32],"(ASR),":[33],"speaker":[34,70,109],"recognition,":[35,69],"and":[36,49,72],"voice":[37,41],"biometrics":[38],"interactive":[40],"applications.":[42],"End-to-end":[43],"learning,":[44],"which":[46],"the":[47,50,65,104,108,112,148],"features":[48],"classification":[51],"model":[52,126],"are":[53],"learned":[54],"jointly":[55],"single":[58],"system,":[59],"an":[61,138],"emerging":[62],"field":[63],"areas":[66],"verification":[71],"understanding.":[75],"In":[76,141],"this":[77,99],"paper,":[78],"we":[79,101],"present":[80],"our":[81,119,123],"study":[82,120],"attention-based":[84],"end-to-end":[85,125],"modeling":[86],"for":[87],"database":[93],"11":[95],"different":[96],"L1s.":[97],"Using":[98],"methodology,":[100],"determine":[103],"directly":[110],"from":[111,118],"raw":[113],"acoustic":[114],"features.":[115],"Experimental":[116],"results":[117,130],"show":[121],"best":[124],"achieve":[128],"promising":[129],"by":[131],"capturing":[132],"commonalities":[134],"across":[135],"L1s":[136],"using":[137],"attention":[139],"mechanism.":[140],"addition,":[142],"fusion":[143],"proposed":[145],"systems":[146],"with":[147],"baseline":[149],"system":[150],"leads":[151],"to":[152],"significant":[153],"performance":[154],"improvements.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}