{"id":"https://openalex.org/W4402639795","doi":"https://doi.org/10.1162/tacl_a_00696","title":"Hypernetworks for Personalizing ASR to Atypical Speech","display_name":"Hypernetworks for Personalizing ASR to Atypical Speech","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402639795","doi":"https://doi.org/10.1162/tacl_a_00696"},"language":"en","primary_location":{"id":"doi:10.1162/tacl_a_00696","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00696","pdf_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00696/2470797/tacl_a_00696.pdf","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00696/2470797/tacl_a_00696.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083392159","display_name":"Max M\u00fcller-Eberstein","orcid":"https://orcid.org/0000-0002-0006-0658"},"institutions":[{"id":"https://openalex.org/I83467386","display_name":"IT University of Copenhagen","ror":"https://ror.org/02309jg23","country_code":"DK","type":"education","lineage":["https://openalex.org/I83467386"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Max M\u00fcller-Eberstein","raw_affiliation_strings":["IT University of Copenhagen, Denmark mamy@itu.dk"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT University of Copenhagen, Denmark mamy@itu.dk","institution_ids":["https://openalex.org/I83467386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015752684","display_name":"Dianna Yee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153776","display_name":"Apple (United States)","ror":"https://ror.org/059hsda18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153776"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dianna Yee","raw_affiliation_strings":["Apple, USA dianna_yee@apple.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Apple, USA dianna_yee@apple.com","institution_ids":["https://openalex.org/I4210153776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062173174","display_name":"Karren Yang","orcid":"https://orcid.org/0000-0003-1885-5552"},"institutions":[{"id":"https://openalex.org/I4210153776","display_name":"Apple (United States)","ror":"https://ror.org/059hsda18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153776"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karren Yang","raw_affiliation_strings":["Apple, USA karren_yang@apple.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Apple, USA karren_yang@apple.com","institution_ids":["https://openalex.org/I4210153776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061686905","display_name":"Gautam Mantena","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153776","display_name":"Apple (United States)","ror":"https://ror.org/059hsda18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153776"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gautam Varma Mantena","raw_affiliation_strings":["Apple, USA gmantena@apple.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Apple, USA gmantena@apple.com","institution_ids":["https://openalex.org/I4210153776"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088537496","display_name":"Colin Lea","orcid":"https://orcid.org/0000-0001-7068-3351"},"institutions":[{"id":"https://openalex.org/I4210153776","display_name":"Apple (United States)","ror":"https://ror.org/059hsda18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153776"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Colin Lea","raw_affiliation_strings":["Apple, USA colin_lea@apple.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Apple, USA colin_lea@apple.com","institution_ids":["https://openalex.org/I4210153776"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9449,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88083679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"1182","last_page":"1196"},"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/T10863","display_name":"Voice and Speech Disorders","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9944999814033508,"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/computer-science","display_name":"Computer science","score":0.8250063061714172},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6786190271377563},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6074032783508301},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.602328896522522},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5572947859764099},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.5227199196815491},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.43135306239128113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3909367322921753},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3440720736980438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8250063061714172},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6786190271377563},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6074032783508301},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.602328896522522},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5572947859764099},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.5227199196815491},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.43135306239128113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3909367322921753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3440720736980438},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1162/tacl_a_00696","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00696","pdf_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00696/2470797/tacl_a_00696.pdf","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/249596f4-ee63-4dc6-8ba9-fdd8d027f69a","is_oa":true,"landing_page_url":"https://pure.itu.dk/portal/da/publications/249596f4-ee63-4dc6-8ba9-fdd8d027f69a","pdf_url":null,"source":{"id":"https://openalex.org/S4377196680","display_name":"IT University Of Copenhagen (IT University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83467386","host_organization_name":"IT University of Copenhagen","host_organization_lineage":["https://openalex.org/I83467386"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"M\u00fcller-Eberstein, M, Yee, D, Yang, K, Mantena, G V & Lea, C 2024, 'Hypernetworks for Personalizing ASR to Atypical Speech', Transactions of the Association for Computational Linguistics, vol. 12, pp. 1182-1196. https://doi.org/10.1162/tacl_a_00696","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:d49e071ab1dc49b58f5b2dbaef7cc05d","is_oa":false,"landing_page_url":"https://doaj.org/article/d49e071ab1dc49b58f5b2dbaef7cc05d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Transactions of the Association for Computational Linguistics, Vol 12 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/tacl_a_00696","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00696","pdf_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00696/2470797/tacl_a_00696.pdf","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402639795.pdf","grobid_xml":"https://content.openalex.org/works/W4402639795.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W38194800","https://openalex.org/W1583837637","https://openalex.org/W1597628276","https://openalex.org/W1847682101","https://openalex.org/W1966484475","https://openalex.org/W2075038627","https://openalex.org/W2125422126","https://openalex.org/W2325550631","https://openalex.org/W2612690371","https://openalex.org/W2726515241","https://openalex.org/W2808631503","https://openalex.org/W2964525587","https://openalex.org/W2981087920","https://openalex.org/W3024869864","https://openalex.org/W3153675281","https://openalex.org/W3167533889","https://openalex.org/W3168867926","https://openalex.org/W3172698324","https://openalex.org/W3173788106","https://openalex.org/W3174905182","https://openalex.org/W3197150384","https://openalex.org/W3197712601","https://openalex.org/W3201225328","https://openalex.org/W3214578205","https://openalex.org/W4223646484","https://openalex.org/W4225909405","https://openalex.org/W4318977936","https://openalex.org/W4366547420","https://openalex.org/W4372260492","https://openalex.org/W4385574341","https://openalex.org/W4385822594","https://openalex.org/W4385823211","https://openalex.org/W6738045163","https://openalex.org/W6797067584","https://openalex.org/W6846386225","https://openalex.org/W6847363464","https://openalex.org/W6864424756"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W3177678247","https://openalex.org/W1999617572","https://openalex.org/W2944572343","https://openalex.org/W2333799855","https://openalex.org/W2351687372","https://openalex.org/W2004087835","https://openalex.org/W2314871050"],"abstract_inverted_index":{"Abstract":[0],"Parameter-efficient":[1],"fine-tuning":[2],"(PEFT)":[3],"for":[4,14,79,111,131],"personalizing":[5],"automatic":[6],"speech":[7,32,137],"recognition":[8],"(ASR)":[9],"has":[10],"recently":[11],"shown":[12],"promise":[13],"adapting":[15,103],"general":[16],"population":[17],"models":[18],"to":[19,94,124,153],"atypical":[20,31,136],"speech.":[21],"However,":[22],"these":[23,67],"approaches":[24],"assume":[25],"a":[26,121,132],"priori":[27],"knowledge":[28,42],"of":[29,38,62,75,84,105,120,135,163,167],"the":[30,60,72,109,117,142,168],"disorder":[33],"being":[34],"adapted":[35],"for\u2014the":[36],"diagnosis":[37],"which":[39],"requires":[40],"expert":[41],"that":[43,149],"is":[44],"not":[45],"always":[46],"available.":[47],"Even":[48],"given":[49],"this":[50],"knowledge,":[51],"data":[52],"scarcity":[53],"and":[54,145],"high":[55],"inter-/intra-speaker":[56],"variability":[57],"further":[58],"limit":[59],"effectiveness":[61],"traditional":[63],"fine-tuning.":[64],"To":[65],"circumvent":[66],"challenges,":[68],"we":[69,114,147],"first":[70],"identify":[71],"minimal":[73],"set":[74,134],"model":[76],"parameters":[77],"required":[78],"ASR":[80],"adaptation.":[81],"Our":[82],"analysis":[83],"each":[85],"individual":[86],"parameter\u2019s":[87],"effect":[88],"on":[89],"adaptation":[90,140],"performance":[91],"allows":[92],"us":[93],"reduce":[95],"Word":[96],"Error":[97],"Rate":[98],"(WER)":[99],"by":[100],"half":[101],"while":[102,156],"0.03%":[104],"all":[106],"weights.":[107],"Alleviating":[108],"need":[110],"cohort-specific":[112],"models,":[113],"next":[115],"propose":[116],"novel":[118],"use":[119],"meta-learned":[122],"hypernetwork":[123],"generate":[125],"highly":[126],"individualized,":[127],"utterance-level":[128],"adaptations":[129],"on-the-fly":[130],"diverse":[133],"characteristics.":[138],"Evaluating":[139],"at":[141],"global,":[143],"cohort,":[144],"individual-level,":[146],"show":[148],"hypernetworks":[150],"generalize":[151],"better":[152],"out-of-distribution":[154],"speakers,":[155],"maintaining":[157],"an":[158],"overall":[159],"relative":[160],"WER":[161],"reduction":[162],"75.2%":[164],"using":[165],"0.1%":[166],"full":[169],"parameter":[170],"budget.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}