{"id":"https://openalex.org/W7135078219","doi":"https://doi.org/10.1109/access.2026.3673388","title":"Bridging the Reality Gap in ASR for Low-Resource Dysarthric Speech: Evaluating Performance on Synthetic and Real Data","display_name":"Bridging the Reality Gap in ASR for Low-Resource Dysarthric Speech: Evaluating Performance on Synthetic and Real Data","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7135078219","doi":"https://doi.org/10.1109/access.2026.3673388"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3673388","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3673388","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3673388","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114799199","display_name":"Tomasz Piernicki","orcid":"https://orcid.org/0009-0006-7840-3055"},"institutions":[{"id":"https://openalex.org/I169333911","display_name":"Gda\u0144sk University of Technology","ror":"https://ror.org/006x4sc24","country_code":"PL","type":"education","lineage":["https://openalex.org/I169333911"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Tomasz Piernicki","raw_affiliation_strings":["Multimedia Systems Department, Faculty of Electronics, Telecommunications and Informatics, Gda&#x0144;sk University of Technology, Gda&#x0144;sk, Poland"],"raw_orcid":"https://orcid.org/0009-0006-7840-3055","affiliations":[{"raw_affiliation_string":"Multimedia Systems Department, Faculty of Electronics, Telecommunications and Informatics, Gda&#x0144;sk University of Technology, Gda&#x0144;sk, Poland","institution_ids":["https://openalex.org/I169333911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128811345","display_name":"M. Kropisz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mariusz Kropisz","raw_affiliation_strings":["Gda&#x0144;sk University of Technology, Gda&#x0144;sk, Poland"],"raw_orcid":"https://orcid.org/0009-0001-5573-2028","affiliations":[{"raw_affiliation_string":"Gda&#x0144;sk University of Technology, Gda&#x0144;sk, Poland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033154448","display_name":"Bo\u017cena Kostek","orcid":"https://orcid.org/0000-0001-6288-2908"},"institutions":[{"id":"https://openalex.org/I169333911","display_name":"Gda\u0144sk University of Technology","ror":"https://ror.org/006x4sc24","country_code":"PL","type":"education","lineage":["https://openalex.org/I169333911"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Bozena Kostek","raw_affiliation_strings":["Faculty of Electronics, Telecommunications and Informatics, Audio Acoustics Laboratory, Gda&#x0144;sk University of Technology, Gda&#x0144;sk, Poland"],"raw_orcid":"https://orcid.org/0000-0001-6288-2908","affiliations":[{"raw_affiliation_string":"Faculty of Electronics, Telecommunications and Informatics, Audio Acoustics Laboratory, Gda&#x0144;sk University of Technology, Gda&#x0144;sk, Poland","institution_ids":["https://openalex.org/I169333911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5114799199"],"corresponding_institution_ids":["https://openalex.org/I169333911"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51036356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"41725","last_page":"41736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.8621000051498413,"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"}},"topics":[{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.8621000051498413,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.045499999076128006,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.0340999998152256,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.9277999997138977},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3578999936580658},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.3571000099182129},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.2574000060558319}],"concepts":[{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.9277999997138977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7700999975204468},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5195000171661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4823000133037567},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40059998631477356},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3050999939441681},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2867000102996826},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.2574000060558319}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3673388","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3673388","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9c8662640ea54dad9833499493d96675","is_oa":true,"landing_page_url":"https://doaj.org/article/9c8662640ea54dad9833499493d96675","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 41725-41736 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3673388","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3673388","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1684587107","display_name":null,"funder_award_id":"INFOSTRATEG4/0003/2022","funder_id":"https://openalex.org/F4320335039","funder_display_name":"Narodowe Centrum Bada\u0144 i Rozwoju"}],"funders":[{"id":"https://openalex.org/F4320335039","display_name":"Narodowe Centrum Bada\u0144 i Rozwoju","ror":"https://ror.org/05pwfyy15"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Automatic":[0],"speech":[1,6,37],"recognition":[2],"(ASR)":[3],"for":[4,65,213],"dysarthric":[5,36,58,75,96,140,214],"poses":[7],"major":[8],"challenges":[9],"due":[10],"to":[11,41,159,183,192],"atypical":[12],"articulation":[13],"patterns,":[14],"limited":[15],"annotated":[16,52],"corpora,":[17],"and":[18,80,89,94,116,202,209],"the":[19,153,160,167,186,197],"difficulty":[20],"of":[21,56,114,125,148,164,185,199],"collecting":[22],"large-scale":[23],"real-world":[24,53,193],"data,":[25],"especially":[26],"in":[27,101,166,216],"low-resource":[28,217],"languages":[29],"like":[30],"Polish.":[31],"To":[32],"overcome":[33],"this,":[34],"synthetic":[35,73,95,117,129,179],"is":[38,157],"often":[39],"used":[40],"train":[42],"ASR":[43,108,211],"models.":[44],"In":[45],"this":[46,200],"study,":[47],"we":[48],"introduce":[49,71],"a":[50,86,112,120,132,146,173],"novel":[51],"test":[54],"set":[55],"Polish":[57,74,128,138],"speech,":[59,97],"curated":[60],"by":[61],"neuroscientific":[62],"experts,":[63],"designed":[64],"deep":[66],"learning":[67],"applications.":[68],"We":[69,84,195],"also":[70],"three":[72],"datasets":[76],"obtained":[77],"using":[78],"text-to-speech":[79],"voice":[81],"cloning":[82],"techniques.":[83],"perform":[85],"comprehensive":[87],"statistical":[88],"acoustic":[90,103],"analysis":[91],"comparing":[92],"natural":[93,115],"demonstrating":[98],"clear":[99],"separability":[100],"their":[102],"feature":[104],"distributions.":[105],"A":[106],"transformer-based":[107],"model":[109,144],"fine-tuned":[110],"on":[111,127,137,152,178],"mix":[113],"data":[118,180],"achieves":[119,145],"word":[121],"error":[122],"rate":[123],"(WER)":[124],"20.54\u00b10.72%":[126],"samples,":[130],"but":[131],"much":[133],"higher":[134],"71.91\u00b11.84%":[135],"WER":[136,147],"real":[139],"speech.":[141],"Furthermore,":[142],"our":[143],"22.87":[149],"\u00b1":[150],"0.95%":[151],"UaSpeech":[154],"dataset,":[155],"which":[156],"close":[158],"best":[161],"reported":[162],"result":[163],"20.61%":[165],"literature.":[168],"This":[169],"performance":[170],"gap":[171,201],"underscores":[172],"critical":[174],"limitation:":[175],"models":[176],"trained":[177],"may":[181],"overfit":[182],"artifacts":[184],"generation":[187],"process,":[188],"thereby":[189],"reducing":[190],"generalizability":[191],"scenarios.":[194],"discuss":[196],"implications":[198],"propose":[203],"steps":[204],"toward":[205],"building":[206],"more":[207],"robust":[208],"inclusive":[210],"systems":[212],"speakers":[215],"contexts.":[218]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2026-03-13T00:00:00"}
