{"id":"https://openalex.org/W4412889544","doi":"https://doi.org/10.18653/v1/2025.acl-srw.1","title":"Advancing African-Accented English Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models","display_name":"Advancing African-Accented English Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412889544","doi":"https://doi.org/10.18653/v1/2025.acl-srw.1"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.acl-srw.1","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-srw.1","pdf_url":"https://aclanthology.org/2025.acl-srw.1.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.acl-srw.1.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058219704","display_name":"Bonaventure F. P. Dossou","orcid":"https://orcid.org/0000-0002-0519-1761"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]},{"id":"https://openalex.org/I2799847335","display_name":"Art Institute of Portland","ror":"https://ror.org/01cb0jg64","country_code":"US","type":"education","lineage":["https://openalex.org/I2799847335","https://openalex.org/I2799969541"]}],"countries":["CA","US"],"is_corresponding":true,"raw_author_name":"Bonaventure F. P. Dossou","raw_affiliation_strings":["AI Institute","McGill University , Mila Quebec"],"affiliations":[{"raw_affiliation_string":"AI Institute","institution_ids":["https://openalex.org/I2799847335"]},{"raw_affiliation_string":"McGill University , Mila Quebec","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5058219704"],"corresponding_institution_ids":["https://openalex.org/I2799847335","https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":2.7978,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91705044,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9921000003814697,"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":0.9921000003814697,"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":0.9896000027656555,"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/T12031","display_name":"Speech and dialogue systems","score":0.9671000242233276,"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/selection","display_name":"Selection (genetic algorithm)","score":0.7454344034194946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6502083539962769},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4782363772392273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46263426542282104},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3929295241832733},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.34918785095214844},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.08226501941680908}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7454344034194946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6502083539962769},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4782363772392273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46263426542282104},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3929295241832733},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.34918785095214844},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.08226501941680908}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.acl-srw.1","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-srw.1","pdf_url":"https://aclanthology.org/2025.acl-srw.1.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.acl-srw.1","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-srw.1","pdf_url":"https://aclanthology.org/2025.acl-srw.1.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412889544.pdf","grobid_xml":"https://content.openalex.org/works/W4412889544.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2383516975","https://openalex.org/W2374878784","https://openalex.org/W2147679489","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Accents":[0],"play":[1],"a":[2,40,67,108,137],"pivotal":[3],"role":[4],"in":[5,27,170],"shaping":[6],"human":[7,54,85],"communication,":[8],"enhancing":[9,104],"our":[10,120,133],"ability":[11],"to":[12,39,49,76,100,112,116,136],"convey":[13],"and":[14,19,51,61,84,92,126],"comprehend":[15],"messages":[16],"with":[17],"clarity":[18],"cultural":[20],"nuance.While":[21],"there":[22],"has":[23,35],"been":[24,36],"significant":[25],"progress":[26],"Automatic":[28],"Speech":[29],"Recognition":[30],"(ASR),":[31],"African-accented":[32],"English":[33],"ASR":[34,168],"understudied":[37],"due":[38],"lack":[41],"of":[42,173],"training":[43,105],"datasets,":[44,125],"which":[45],"are":[46],"often":[47],"expensive":[48],"create":[50],"demand":[52],"colossal":[53],"labor.By":[55],"combining":[56],"several":[57,123],"active":[58],"learning":[59],"paradigms":[60],"the":[62,171,178],"core-set":[63],"approach,":[64],"we":[65],"propose":[66],"new":[68,109],"multiround":[69],"adaptation":[70,115],"process":[71],"that":[72,97,132],"utilizes":[73],"epistemic":[74],"uncertainty":[75],"automate":[77],"annotation,":[78],"thereby":[79,103],"significantly":[80],"reducing":[81],"associated":[82],"costs":[83],"labor.This":[86],"novel":[87],"method":[88],"streamlines":[89],"data":[90,95,149],"annotation":[91],"strategically":[93],"selects":[94],"samples":[96],"contribute":[98],"most":[99],"model":[101,114],"uncertainty,":[102],"efficiency.We":[106],"define":[107],"U-WER":[110],"metric":[111],"track":[113],"hard":[117],"accents.We":[118],"evaluate":[119],"approach":[121,134,153],"across":[122],"domains,":[124],"high-performing":[127],"speech":[128],"models.Our":[129],"results":[130],"show":[131],"leads":[135],"27%":[138],"WER":[139],"relative":[140],"average":[141],"improvement":[142],"while":[143],"requiring,":[144],"on":[145],"average,":[146],"45%":[147],"less":[148],"than":[150],"established":[151],"baselines.Our":[152],"also":[154],"improves":[155],"out-of-distribution":[156],"generalization":[157],"for":[158,165],"very":[159],"low-resource":[160],"accents,":[161],"demonstrating":[162],"its":[163],"viability":[164],"building":[166],"generalizable":[167],"models":[169],"context":[172],"accented":[174],"African":[175],"ASR.We":[176],"open-source":[177],"code":[179],"here.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}