{"id":"https://openalex.org/W7133553946","doi":"https://doi.org/10.48550/arxiv.2603.02246","title":"Quality of Automatic Speech Recognition -- Polish Language case study -- from Wav2Vec to Scribe ElevenLabs","display_name":"Quality of Automatic Speech Recognition -- Polish Language case study -- from Wav2Vec to Scribe ElevenLabs","publication_year":2026,"publication_date":"2026-02-25","ids":{"openalex":"https://openalex.org/W7133553946","doi":"https://doi.org/10.48550/arxiv.2603.02246"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.02246","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.02246","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Pietro\u0144, Marcin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pietro\u0144, Marcin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115905207","display_name":"Szymon Pi\u00f3rkowski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pi\u00f3rkowski, Szymon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008887467","display_name":"Kamil Faber","orcid":"https://orcid.org/0000-0003-4221-0017"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faber, Kamil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128123088","display_name":"Dominik \u017burek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u017burek, Dominik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047181513","display_name":"Micha\u0142 Karwatowski","orcid":"https://orcid.org/0000-0001-6285-136X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karwatowski, Micha\u0142","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128067191","display_name":"Jerzy Duda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duda, Jerzy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128089210","display_name":"Hubert Zieli\u0144ski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zieli\u0144ski, Hubert","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128091750","display_name":"Piotr Lipnicki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lipnicki, Piotr","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5031919351","display_name":"Miko\u0142aj Leszczuk","orcid":"https://orcid.org/0000-0001-9123-1039"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leszczuk, Miko\u0142aj","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.7336000204086304,"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":0.7336000204086304,"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":0.0674000009894371,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.012500000186264515,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6450999975204468},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6025999784469604},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.597599983215332},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5069000124931335},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4595000147819519},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4320000112056732},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4196999967098236},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4011000096797943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8030999898910522},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6450999975204468},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6322000026702881},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6025999784469604},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.597599983215332},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5069000124931335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4927000105381012},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4595000147819519},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4535999894142151},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4320000112056732},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4196999967098236},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4011000096797943},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.3580999970436096},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.34060001373291016},{"id":"https://openalex.org/C96627749","wikidata":"https://www.wikidata.org/wiki/Q809","display_name":"Polish","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.02246","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.02246","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"article":[1],"concerns":[2],"comparative":[3],"studies":[4,109],"on":[5,28,43,168,193,225,233],"the":[6,14,65,68,100,114,124,150,194,210,216,219,226],"Automatic":[7],"Speech":[8],"Recognition":[9],"(ASR)":[10],"model":[11,70,127,212],"incorporated":[12,143],"with":[13,34,75,136,144,154,183],"Large":[15],"Language":[16],"Model":[17,166],"(LLM)":[18],"used":[19],"for":[20,91,110,178,231],"medical":[21,35,131,238],"interviews.":[22,36],"The":[23,37,61,85,93,130,188,206],"proposed":[24],"solution":[25,74],"is":[26,88,95,104],"tested":[27,189],"polish":[29],"language":[30,116],"benchmarks":[31],"and":[32,52,78,106,123,146,164,172,186,201,237],"dataset":[33],"latest":[38],"ASR":[39,77,86,103,125,139],"technologies":[40],"are":[41],"based":[42],"convolutional":[44],"neural":[45,49],"networks":[46,50],"(CNNs),":[47],"recurrent":[48],"(RNNs)":[51],"Transformers.":[53],"Most":[54],"of":[55,67,113,196],"them":[56],"work":[57],"as":[58],"end-to-end":[59,157],"solutions.":[60],"presented":[62],"approach":[63],"in":[64,82],"case":[66],"Whisper":[69,142,211],"shows":[71],"a":[72,83,96],"two-stage":[73],"End-To-End":[76,119],"LLM":[79,94,145],"working":[80],"together":[81],"pipeline.":[84],"output":[87,101],"an":[89],"input":[90],"LLM.":[92],"component":[97],"by":[98,214],"which":[99],"from":[102],"corrected":[105],"improved.":[107],"Comparative":[108],"automatic":[111],"recognition":[112],"Polish":[115,232],"between":[117],"modern":[118],"deep":[120],"learning":[121],"architectures":[122],"hybrid":[126],"were":[128,134,152,176,191],"performed.":[129],"interview":[132],"tests":[133],"performed":[135],"two":[137],"state-of-the-art":[138],"models:":[140],"OpenAI":[141],"Scribe":[147,223],"ElevenLabs.":[148],"Additionally,":[149],"results":[151,207],"compared":[153],"five":[155],"more":[156],"models":[158,190],"(QuartzNet,":[159],"FastConformer,":[160],"Wav2Vec":[161],"2.0":[162],"XLSR":[163],"ESPnet":[165],"Zoo)":[167],"Mozilla":[169],"Common":[170],"Voice":[171],"VoxPopuli":[173],"databases.":[174],"Tests":[175],"conducted":[177],"clean":[179],"audio":[180],"signal,":[181],"signal":[182],"bandwidth":[184],"limitation,":[185],"degraded.":[187],"evaluated":[192],"basis":[195],"Word":[197],"Error":[198,203],"Rate":[199,204],"(WER)":[200],"Character":[202],"(CER).":[205],"show":[208],"that":[209],"performs":[213,229],"far":[215],"best":[217,230],"among":[218],"open-source":[220],"models.":[221],"ElevenLabs":[222],"model,":[224],"other":[227],"hand,":[228],"both":[234],"general":[235],"benchmark":[236],"data.":[239]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-05T00:00:00"}
