{"id":"https://openalex.org/W2963522845","doi":"https://doi.org/10.1109/apsipa.2015.7415532","title":"Transfer learning for speech and language processing","display_name":"Transfer learning for speech and language processing","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2963522845","doi":"https://doi.org/10.1109/apsipa.2015.7415532","mag":"2963522845"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2015.7415532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2015.7415532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100391494","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-6992-7950"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["Center for Speech and Language Technologies (CSLT), Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Speech and Language Technologies (CSLT), Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084318285","display_name":"Thomas Fang Zheng","orcid":"https://orcid.org/0000-0002-0249-4767"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Thomas Fang Zheng","raw_affiliation_strings":["Tsinghua National Lab for Information Science and Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Lab for Information Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":207,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1225","last_page":"1237"},"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.9983000159263611,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.859239935874939},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8117737770080566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6733980774879456},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6418505907058716},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6284189820289612},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5656954646110535},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.546911358833313},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45529866218566895},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4250187575817108},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4240984320640564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3592067360877991},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08404853940010071}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.859239935874939},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8117737770080566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6733980774879456},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6418505907058716},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6284189820289612},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5656954646110535},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.546911358833313},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45529866218566895},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4250187575817108},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4240984320640564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3592067360877991},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08404853940010071},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2015.7415532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2015.7415532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":213,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W27961112","https://openalex.org/W39938982","https://openalex.org/W46086471","https://openalex.org/W74584387","https://openalex.org/W82936479","https://openalex.org/W99485931","https://openalex.org/W100623710","https://openalex.org/W113498433","https://openalex.org/W116068320","https://openalex.org/W182831726","https://openalex.org/W189596042","https://openalex.org/W342285082","https://openalex.org/W567546468","https://openalex.org/W591148856","https://openalex.org/W782077188","https://openalex.org/W1502723613","https://openalex.org/W1513862252","https://openalex.org/W1528914981","https://openalex.org/W1534395135","https://openalex.org/W1570874634","https://openalex.org/W1602122992","https://openalex.org/W1614298861","https://openalex.org/W1663984431","https://openalex.org/W1690739335","https://openalex.org/W1818534184","https://openalex.org/W1821462560","https://openalex.org/W1828724394","https://openalex.org/W1834646128","https://openalex.org/W1861150963","https://openalex.org/W1916559533","https://openalex.org/W1957461937","https://openalex.org/W1959220781","https://openalex.org/W1970890968","https://openalex.org/W1975550806","https://openalex.org/W1978515190","https://openalex.org/W1978660892","https://openalex.org/W1984541135","https://openalex.org/W1984905644","https://openalex.org/W1985371235","https://openalex.org/W1986614398","https://openalex.org/W1989549063","https://openalex.org/W1990505856","https://openalex.org/W1993409002","https://openalex.org/W1993660824","https://openalex.org/W1994606281","https://openalex.org/W2010362084","https://openalex.org/W2013988526","https://openalex.org/W2015633636","https://openalex.org/W2019042707","https://openalex.org/W2019395288","https://openalex.org/W2020024436","https://openalex.org/W2025198378","https://openalex.org/W2026161499","https://openalex.org/W2027570514","https://openalex.org/W2033436836","https://openalex.org/W2036351241","https://openalex.org/W2046056978","https://openalex.org/W2048679005","https://openalex.org/W2051464482","https://openalex.org/W2052623686","https://openalex.org/W2055842011","https://openalex.org/W2056738732","https://openalex.org/W2062518264","https://openalex.org/W2062955551","https://openalex.org/W2076828475","https://openalex.org/W2079623482","https://openalex.org/W2080005694","https://openalex.org/W2087006792","https://openalex.org/W2090320273","https://openalex.org/W2090923791","https://openalex.org/W2094147890","https://openalex.org/W2097381042","https://openalex.org/W2100495367","https://openalex.org/W2100969003","https://openalex.org/W2101633703","https://openalex.org/W2107553890","https://openalex.org/W2110798204","https://openalex.org/W2112841646","https://openalex.org/W2115403315","https://openalex.org/W2115733720","https://openalex.org/W2117130368","https://openalex.org/W2119307209","https://openalex.org/W2120209245","https://openalex.org/W2122922389","https://openalex.org/W2123024445","https://openalex.org/W2124033848","https://openalex.org/W2124961556","https://openalex.org/W2126274282","https://openalex.org/W2126725946","https://openalex.org/W2131462252","https://openalex.org/W2133267619","https://openalex.org/W2134797427","https://openalex.org/W2135145707","https://openalex.org/W2136504847","https://openalex.org/W2136922672","https://openalex.org/W2136933783","https://openalex.org/W2137630452","https://openalex.org/W2137735870","https://openalex.org/W2139957545","https://openalex.org/W2142074148","https://openalex.org/W2143612262","https://openalex.org/W2145094598","https://openalex.org/W2146871184","https://openalex.org/W2147768505","https://openalex.org/W2148861942","https://openalex.org/W2149557440","https://openalex.org/W2150341604","https://openalex.org/W2150769028","https://openalex.org/W2153773331","https://openalex.org/W2153914468","https://openalex.org/W2156940638","https://openalex.org/W2158108973","https://openalex.org/W2158139315","https://openalex.org/W2158899491","https://openalex.org/W2159291411","https://openalex.org/W2160815625","https://openalex.org/W2161381512","https://openalex.org/W2161742217","https://openalex.org/W2162888803","https://openalex.org/W2164587673","https://openalex.org/W2165256480","https://openalex.org/W2165698076","https://openalex.org/W2171361956","https://openalex.org/W2172130635","https://openalex.org/W2179487416","https://openalex.org/W2184188583","https://openalex.org/W2188379175","https://openalex.org/W2218417636","https://openalex.org/W2251033195","https://openalex.org/W2280985394","https://openalex.org/W2286443923","https://openalex.org/W2292405593","https://openalex.org/W2294774419","https://openalex.org/W2295582178","https://openalex.org/W2400714358","https://openalex.org/W2402040300","https://openalex.org/W2403307129","https://openalex.org/W2403524927","https://openalex.org/W2403731734","https://openalex.org/W2471955968","https://openalex.org/W2567143851","https://openalex.org/W2584401907","https://openalex.org/W2605320104","https://openalex.org/W2616180702","https://openalex.org/W2913340405","https://openalex.org/W2950577311","https://openalex.org/W2951670162","https://openalex.org/W2952037945","https://openalex.org/W2952230511","https://openalex.org/W2952822287","https://openalex.org/W2953265577","https://openalex.org/W2963079306","https://openalex.org/W2963143003","https://openalex.org/W2964118293","https://openalex.org/W2997574889","https://openalex.org/W3012691178","https://openalex.org/W3042359118","https://openalex.org/W3104240813","https://openalex.org/W3162418253","https://openalex.org/W3211848854","https://openalex.org/W4205947740","https://openalex.org/W4210849719","https://openalex.org/W4214784823","https://openalex.org/W4235154690","https://openalex.org/W6600949241","https://openalex.org/W6601146891","https://openalex.org/W6601848957","https://openalex.org/W6603403951","https://openalex.org/W6607775107","https://openalex.org/W6615969787","https://openalex.org/W6622731159","https://openalex.org/W6631724102","https://openalex.org/W6634436088","https://openalex.org/W6636510571","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6638665372","https://openalex.org/W6638894083","https://openalex.org/W6639125025","https://openalex.org/W6639662488","https://openalex.org/W6641109967","https://openalex.org/W6674600207","https://openalex.org/W6676481782","https://openalex.org/W6678360021","https://openalex.org/W6678470764","https://openalex.org/W6678924111","https://openalex.org/W6679155404","https://openalex.org/W6679224782","https://openalex.org/W6679909955","https://openalex.org/W6680094886","https://openalex.org/W6680314158","https://openalex.org/W6680549991","https://openalex.org/W6681096077","https://openalex.org/W6682053714","https://openalex.org/W6682974852","https://openalex.org/W6683557909","https://openalex.org/W6683633756","https://openalex.org/W6683738474","https://openalex.org/W6684309063","https://openalex.org/W6685230081","https://openalex.org/W6686207219","https://openalex.org/W6691568843","https://openalex.org/W6695606915","https://openalex.org/W6697274609","https://openalex.org/W6712847557","https://openalex.org/W6713292810","https://openalex.org/W6713701104","https://openalex.org/W6713726233","https://openalex.org/W6720769098","https://openalex.org/W6764666384","https://openalex.org/W6780788142","https://openalex.org/W7062477338"],"related_works":["https://openalex.org/W3192840557","https://openalex.org/W4380075502","https://openalex.org/W2889705046","https://openalex.org/W4223943233","https://openalex.org/W4360585206","https://openalex.org/W4312200629","https://openalex.org/W4382286161","https://openalex.org/W4386213806","https://openalex.org/W2960456850","https://openalex.org/W4317565044"],"abstract_inverted_index":{"Transfer":[0,47],"learning":[1,48,54,72,76],"is":[2,49,59],"a":[3],"vital":[4],"technique":[5],"that":[6,74],"generalizes":[7],"models":[8,122],"trained":[9,28],"for":[10,29,138],"one":[11,30],"setting":[12],"or":[13,18,43,116],"task":[14],"to":[15,35,52],"other":[16],"settings":[17],"tasks.":[19],"For":[20],"example":[21],"in":[22,38,62,70],"speech":[23,37,139],"recognition,":[24],"an":[25],"acoustic":[26],"model":[27,108,118],"language":[31,141],"can":[32,94],"be":[33,95],"used":[34],"recognize":[36],"another":[39],"language,":[40],"with":[41,83],"little":[42],"no":[44],"re-training":[45],"data.":[46],"closely":[50],"related":[51],"multi-task":[53],"(cross-lingual":[55],"vs.":[56],"multilingual),":[57],"and":[58,80,91,102,113,123,140,151],"traditionally":[60],"studied":[61],"the":[63,92,153],"name":[64],"of":[65,155],"`model":[66],"adaptation'.":[67],"Recent":[68],"advance":[69],"deep":[71,89,114],"shows":[73],"transfer":[75],"becomes":[77],"much":[78],"easier":[79],"more":[81],"effective":[82],"high-level":[84],"abstract":[85],"features":[86],"learned":[87],"by":[88],"models,":[90],"`transfer'":[93],"conducted":[96],"not":[97],"only":[98],"between":[99,107],"data":[100,103],"distributions":[101],"types,":[104],"but":[105],"also":[106,144],"structures":[109],"(e.g.,":[110,120],"shallow":[111],"nets":[112],"nets)":[115],"even":[117],"types":[119],"Bayesian":[121],"neural":[124],"models).":[125],"This":[126],"review":[127],"paper":[128],"summarizes":[129],"some":[130,146],"recent":[131],"prominent":[132],"research":[133,159],"towards":[134],"this":[135,156],"direction,":[136],"particularly":[137],"processing.":[142],"We":[143],"report":[145],"results":[147],"from":[148],"our":[149],"group":[150],"highlight":[152],"potential":[154],"very":[157],"interesting":[158],"field":[160],"<sup":[161],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[162],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[163],".":[164]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":28},{"year":2019,"cited_by_count":35},{"year":2018,"cited_by_count":22},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
