{"id":"https://openalex.org/W2025198378","doi":"https://doi.org/10.1109/icassp.2013.6639081","title":"Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers","display_name":"Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2025198378","doi":"https://doi.org/10.1109/icassp.2013.6639081","mag":"2025198378"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6639081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5045413298","display_name":"Jui-Ting Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jui-Ting Huang","raw_affiliation_strings":["Online Services Division, Microsoft Corporation, Redmond, WA, USA","Online Services Div., Microsoft Corp., Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Online Services Division, Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Online Services Div., Microsoft Corp., Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365053","display_name":"Jinyu Li","orcid":"https://orcid.org/0000-0002-1089-9748"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinyu Li","raw_affiliation_strings":["Online Services Division, Microsoft Corporation, Redmond, WA, USA","Online Services Div., Microsoft Corp., Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Online Services Division, Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Online Services Div., Microsoft Corp., Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034476404","display_name":"Dong Yu","orcid":"https://orcid.org/0000-0003-0520-6844"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Yu","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA","[Microsoft Research,Redmond,WA,USA]"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research,Redmond,WA,USA]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100671324","display_name":"Li Deng","orcid":"https://orcid.org/0000-0002-1014-0790"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Deng","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA","[Microsoft Research,Redmond,WA,USA]"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research,Redmond,WA,USA]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077401426","display_name":"Yifan Gong","orcid":"https://orcid.org/0000-0001-8786-3391"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Gong","raw_affiliation_strings":["Online Services Division, Microsoft Corporation, Redmond, WA, USA","Online Services Div., Microsoft Corp., Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Online Services Division, Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Online Services Div., Microsoft Corp., Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045413298"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":68.7444,"has_fulltext":false,"cited_by_count":625,"citation_normalized_percentile":{"value":0.99924966,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"7304","last_page":"7308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.9262272119522095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8111170530319214},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6377689838409424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6057407259941101},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5748262405395508},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5122279524803162},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.469363272190094},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3848751187324524},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10433033108711243}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.9262272119522095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8111170530319214},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6377689838409424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6057407259941101},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5748262405395508},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5122279524803162},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.469363272190094},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3848751187324524},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10433033108711243},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6639081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W217970951","https://openalex.org/W319941341","https://openalex.org/W1968147312","https://openalex.org/W1987238397","https://openalex.org/W1993882792","https://openalex.org/W2013205774","https://openalex.org/W2033436836","https://openalex.org/W2062164080","https://openalex.org/W2076794394","https://openalex.org/W2117130368","https://openalex.org/W2120209245","https://openalex.org/W2120480077","https://openalex.org/W2123798005","https://openalex.org/W2127982613","https://openalex.org/W2130414229","https://openalex.org/W2131042651","https://openalex.org/W2144792281","https://openalex.org/W2147768505","https://openalex.org/W2151841219","https://openalex.org/W2160306971","https://openalex.org/W2160815625","https://openalex.org/W2184045248","https://openalex.org/W2253807446","https://openalex.org/W2296748324","https://openalex.org/W2394932179","https://openalex.org/W2403195671","https://openalex.org/W2407441242","https://openalex.org/W2407897255","https://openalex.org/W2913340405","https://openalex.org/W2914746235","https://openalex.org/W2950789693","https://openalex.org/W6678242812"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W4226420367","https://openalex.org/W2980176872","https://openalex.org/W2962876041","https://openalex.org/W3170224572","https://openalex.org/W3095506574","https://openalex.org/W2947839263","https://openalex.org/W3190449293","https://openalex.org/W3120400911"],"abstract_inverted_index":{"In":[0,56],"the":[1,6,18,29,35,39,48,68,78,88,98,102,105,111,119,150,159,166,175,180],"deep":[2],"neural":[3],"network":[4],"(DNN),":[5],"hidden":[7,36,69,121,152,181],"layers":[8,70,80,122],"can":[9,51,90,126,162],"be":[10,43,52,127,163],"considered":[11],"as":[12,22],"increasingly":[13],"complex":[14],"feature":[15,49],"transformations":[16,50],"and":[17],"final":[19],"softmax":[20,79],"layer":[21],"a":[23,61],"log-linear":[24],"classifier":[25,41],"making":[26],"use":[27],"of":[28,133,174],"most":[30],"abstract":[31],"features":[32],"computed":[33],"in":[34,66,171],"layers.":[37,153,182],"While":[38],"loglinear":[40],"should":[42],"different":[44,46,172],"for":[45,96,165],"languages,":[47,135],"shared":[53],"across":[54,74,124],"languages.":[55],"this":[57],"paper":[58],"we":[59,116],"propose":[60],"shared-hidden-layer":[62],"multilingual":[63],"DNN":[64],"(SHL-MDNN),":[65],"which":[67],"are":[71,81],"made":[72,82],"common":[73],"many":[75],"languages":[76,99,125,176],"while":[77],"language":[83,112,168],"dependent.":[84],"We":[85],"demonstrate":[86],"that":[87,118,158,169],"SHL-MDNN":[89],"reduce":[91],"errors":[92],"by":[93],"3-5%,":[94],"relatively,":[95],"all":[97],"decodable":[100],"with":[101,136],"SHL-MDNN,":[103],"over":[104],"monolingual":[106],"DNNs":[107,146],"trained":[108,147],"using":[109],"only":[110],"specific":[113],"data.":[114],"Further,":[115],"show":[117],"learned":[120],"sharing":[123],"transferred":[128,151],"to":[129,143,178],"improve":[130],"recognition":[131],"accuracy":[132],"new":[134],"relative":[137],"error":[138,160],"reductions":[139],"ranging":[140],"from":[141],"6%":[142],"28%":[144],"against":[145],"without":[148],"exploiting":[149],"It":[154],"is":[155,170],"particularly":[156],"interesting":[157],"reduction":[161],"achieved":[164],"target":[167],"families":[173],"used":[177],"learn":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":32},{"year":2021,"cited_by_count":69},{"year":2020,"cited_by_count":102},{"year":2019,"cited_by_count":75},{"year":2018,"cited_by_count":87},{"year":2017,"cited_by_count":60},{"year":2016,"cited_by_count":56},{"year":2015,"cited_by_count":43},{"year":2014,"cited_by_count":34},{"year":2013,"cited_by_count":5}],"updated_date":"2026-03-30T08:08:38.191290","created_date":"2025-10-10T00:00:00"}