{"id":"https://openalex.org/W2285764500","doi":"https://doi.org/10.1109/icassp.2016.7472861","title":"Signer-independent fingerspelling recognition with deep neural network adaptation","display_name":"Signer-independent fingerspelling recognition with deep neural network adaptation","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2285764500","doi":"https://doi.org/10.1109/icassp.2016.7472861","mag":"2285764500"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5100359401","display_name":"Tae-Hwan Kim","orcid":"https://orcid.org/0000-0002-5585-6522"},"institutions":[{"id":"https://openalex.org/I160992636","display_name":"Toyota Technological Institute at Chicago","ror":"https://ror.org/02sn5gb64","country_code":"US","type":"education","lineage":["https://openalex.org/I160992636"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Taehwan Kim","raw_affiliation_strings":["Toyota Technological Institute at Chicago, USA"],"affiliations":[{"raw_affiliation_string":"Toyota Technological Institute at Chicago, USA","institution_ids":["https://openalex.org/I160992636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101432591","display_name":"Weiran Wang","orcid":"https://orcid.org/0009-0000-0843-707X"},"institutions":[{"id":"https://openalex.org/I160992636","display_name":"Toyota Technological Institute at Chicago","ror":"https://ror.org/02sn5gb64","country_code":"US","type":"education","lineage":["https://openalex.org/I160992636"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weiran Wang","raw_affiliation_strings":["Toyota Technological Institute at Chicago, USA"],"affiliations":[{"raw_affiliation_string":"Toyota Technological Institute at Chicago, USA","institution_ids":["https://openalex.org/I160992636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662187","display_name":"Hao Tang","orcid":"https://orcid.org/0000-0002-2445-2605"},"institutions":[{"id":"https://openalex.org/I160992636","display_name":"Toyota Technological Institute at Chicago","ror":"https://ror.org/02sn5gb64","country_code":"US","type":"education","lineage":["https://openalex.org/I160992636"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Tang","raw_affiliation_strings":["Toyota Technological Institute at Chicago, USA"],"affiliations":[{"raw_affiliation_string":"Toyota Technological Institute at Chicago, USA","institution_ids":["https://openalex.org/I160992636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015602781","display_name":"Karen Livescu","orcid":"https://orcid.org/0000-0003-4962-946X"},"institutions":[{"id":"https://openalex.org/I160992636","display_name":"Toyota Technological Institute at Chicago","ror":"https://ror.org/02sn5gb64","country_code":"US","type":"education","lineage":["https://openalex.org/I160992636"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karen Livescu","raw_affiliation_strings":["Toyota Technological Institute at Chicago, USA"],"affiliations":[{"raw_affiliation_string":"Toyota Technological Institute at Chicago, USA","institution_ids":["https://openalex.org/I160992636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100359401"],"corresponding_institution_ids":["https://openalex.org/I160992636"],"apc_list":null,"apc_paid":null,"fwci":3.3404,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.91729192,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"6160","last_page":"6164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11285","display_name":"Hearing Impairment and Communication","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9639000296592712,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8436539769172668},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6972358226776123},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6558353900909424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5626426339149475},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.5359775424003601},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5270488262176514},{"id":"https://openalex.org/keywords/american-sign-language","display_name":"American Sign Language","score":0.5126203894615173},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.49758532643318176},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4050782024860382},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.36986881494522095},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.060867369174957275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8436539769172668},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6972358226776123},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6558353900909424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5626426339149475},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.5359775424003601},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5270488262176514},{"id":"https://openalex.org/C2776737515","wikidata":"https://www.wikidata.org/wiki/Q14759","display_name":"American Sign Language","level":3,"score":0.5126203894615173},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.49758532643318176},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4050782024860382},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.36986881494522095},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.060867369174957275},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2016.7472861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.unist.ac.kr:201301/53838","is_oa":false,"landing_page_url":"https://scholarworks.unist.ac.kr/handle/201301/53838","pdf_url":null,"source":{"id":"https://openalex.org/S4306401118","display_name":"Scholarworks@UNIST (Ulsan National Institute of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48566637","host_organization_name":"Ulsan National Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I48566637"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"CONFERENCE"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W11747580","https://openalex.org/W82936479","https://openalex.org/W1484387534","https://openalex.org/W1513862252","https://openalex.org/W1538046487","https://openalex.org/W1565938589","https://openalex.org/W1566439858","https://openalex.org/W1580385328","https://openalex.org/W1979437380","https://openalex.org/W1985408783","https://openalex.org/W1990539201","https://openalex.org/W1993409002","https://openalex.org/W1993928670","https://openalex.org/W1997627850","https://openalex.org/W1998141202","https://openalex.org/W2010362084","https://openalex.org/W2015632920","https://openalex.org/W2035424729","https://openalex.org/W2087006792","https://openalex.org/W2088237284","https://openalex.org/W2094147890","https://openalex.org/W2094193303","https://openalex.org/W2095705004","https://openalex.org/W2108274355","https://openalex.org/W2113512957","https://openalex.org/W2122246689","https://openalex.org/W2130647295","https://openalex.org/W2131033001","https://openalex.org/W2158188757","https://openalex.org/W2161969291","https://openalex.org/W2252218224","https://openalex.org/W2395596777","https://openalex.org/W2963688273","https://openalex.org/W6600482051","https://openalex.org/W6603403951","https://openalex.org/W6634799667","https://openalex.org/W6672497580","https://openalex.org/W6673751126","https://openalex.org/W6674330103","https://openalex.org/W6676539354","https://openalex.org/W6683226453","https://openalex.org/W6691440341","https://openalex.org/W6711726519"],"related_works":["https://openalex.org/W2089405242","https://openalex.org/W2004685257","https://openalex.org/W1977288663","https://openalex.org/W2115068291","https://openalex.org/W3010360921","https://openalex.org/W2100673443","https://openalex.org/W2897666773","https://openalex.org/W2226154349","https://openalex.org/W2963075127","https://openalex.org/W2947981379"],"abstract_inverted_index":{"We":[0,84,95],"study":[1],"the":[2,63,78,98,143,159],"problem":[3,87],"of":[4,6,80,123,142,166],"recognition":[5,57],"fingerspelled":[7],"letter":[8,164],"sequences":[9,19],"in":[10,14,58],"American":[11],"Sign":[12],"Language":[13],"a":[15,59,139],"signer-independent":[16,66,148],"setting.":[17,61],"Fingerspelled":[18],"are":[20,29],"both":[21],"challenging":[22],"and":[23,39,108,125,147,174],"important":[24],"to":[25,50,71,137,168],"recognize,":[26],"as":[27,36],"they":[28],"used":[30],"for":[31,156],"many":[32],"content":[33],"words":[34,155],"such":[35],"proper":[37],"nouns":[38],"technical":[40],"terms.":[41],"Previous":[42],"work":[43],"has":[44],"shown":[45],"that":[46,133],"it":[47,134],"is":[48,135],"possible":[49,136],"achieve":[51],"almost":[52],"90%":[53],"accuracies":[54,165],"on":[55,105,117],"fingerspelling":[56],"signer-dependent":[60,146],"However,":[62],"more":[64],"realistic":[65],"setting":[67],"presents":[68],"challenges":[69],"due":[70],"significant":[72],"variations":[73],"among":[74],"signers,":[75],"coupled":[76],"with":[77,88,97,114,170,176],"dearth":[79],"available":[81],"training":[82],"data.":[83],"investigate":[85],"this":[86],"approaches":[89,100],"inspired":[90],"by":[91],"automatic":[92],"speech":[93],"recognition.":[94],"start":[96],"best-performing":[99],"from":[101,158],"prior":[102],"work,":[103],"based":[104,116],"tandem":[106],"models":[107],"segmental":[109],"conditional":[110],"random":[111],"fields":[112],"(SCRFs),":[113],"features":[115],"deep":[118],"neural":[119],"network":[120],"(DNN)":[121],"classifiers":[122],"letters":[124],"phonological":[126],"features.":[127],"Using":[128,150],"DNN":[129],"adaptation,":[130],"we":[131,162],"find":[132],"bridge":[138],"large":[140],"part":[141],"gap":[144],"between":[145],"performance.":[149],"only":[151,177],"about":[152],"115":[153],"transcribed":[154],"adaptation":[157,172],"target":[160],"signer,":[161],"obtain":[163],"up":[167],"82.7%":[169],"framelevel":[171],"labels":[173],"69.7%":[175],"word":[178],"labels.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}