{"id":"https://openalex.org/W7162577775","doi":"https://doi.org/10.48550/arxiv.2605.27062","title":"FalAR: A Large-scale Speaker-Annotated European Portuguese Speech Corpus of Parliamentary Sessions","display_name":"FalAR: A Large-scale Speaker-Annotated European Portuguese Speech Corpus of Parliamentary Sessions","publication_year":2026,"publication_date":"2026-05-26","ids":{"openalex":"https://openalex.org/W7162577775","doi":"https://doi.org/10.48550/arxiv.2605.27062"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.27062","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27062","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":null,"license_id":null,"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.2605.27062","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135149182","display_name":"Francisco Teixeira","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Teixeira, Francisco","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135155126","display_name":"Carlos Carvalho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carvalho, Carlos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135209651","display_name":"Mariana Juli\u00e3o","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juli\u00e3o, Mariana","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137105574","display_name":"Catarina Botelho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Botelho, Catarina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072707927","display_name":"Rub\u00e9n Solera-Ure\u00f1a","orcid":"https://orcid.org/0000-0002-5522-9000"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Solera-Ure\u00f1a, Rub\u00e9n","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132734260","display_name":"S\u00e9rgio Paulo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paulo, S\u00e9rgio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137146918","display_name":"Thomas Rolland","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rolland, Thomas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002087731","display_name":"Ben Peters","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peters, Ben","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134075916","display_name":"Isabel Trancoso","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trancoso, Isabel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134176071","display_name":"Alberto Abad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abad, Alberto","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":0.609000027179718,"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":0.609000027179718,"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":0.06719999760389328,"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"}},{"id":"https://openalex.org/T11640","display_name":"Linguistic Variation and Morphology","score":0.04019999876618385,"subfield":{"id":"https://openalex.org/subfields/3310","display_name":"Linguistics and Language"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/portuguese","display_name":"Portuguese","score":0.7609000205993652},{"id":"https://openalex.org/keywords/european-portuguese","display_name":"European Portuguese","score":0.7469000220298767},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.666700005531311},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5297999978065491},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.445499986410141},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.42149999737739563},{"id":"https://openalex.org/keywords/brazilian-portuguese","display_name":"Brazilian Portuguese","score":0.41659998893737793},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.4147000014781952}],"concepts":[{"id":"https://openalex.org/C35219183","wikidata":"https://www.wikidata.org/wiki/Q5146","display_name":"Portuguese","level":2,"score":0.7609000205993652},{"id":"https://openalex.org/C2780939345","wikidata":"https://www.wikidata.org/wiki/Q922399","display_name":"European Portuguese","level":3,"score":0.7469000220298767},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.666700005531311},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5666999816894531},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5297999978065491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44909998774528503},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.445499986410141},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4284999966621399},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.42149999737739563},{"id":"https://openalex.org/C2778880076","wikidata":"https://www.wikidata.org/wiki/Q750553","display_name":"Brazilian Portuguese","level":3,"score":0.41659998893737793},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.4147000014781952},{"id":"https://openalex.org/C91863865","wikidata":"https://www.wikidata.org/wiki/Q4349497","display_name":"Speech corpus","level":3,"score":0.4032999873161316},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.3912000060081482},{"id":"https://openalex.org/C48580701","wikidata":"https://www.wikidata.org/wiki/Q150","display_name":"French","level":2,"score":0.38659998774528503},{"id":"https://openalex.org/C532629269","wikidata":"https://www.wikidata.org/wiki/Q865083","display_name":"Corpus linguistics","level":2,"score":0.37880000472068787},{"id":"https://openalex.org/C51764019","wikidata":"https://www.wikidata.org/wiki/Q283987","display_name":"Direct speech","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31630000472068787},{"id":"https://openalex.org/C2776397901","wikidata":"https://www.wikidata.org/wiki/Q24905","display_name":"Verb","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3027999997138977},{"id":"https://openalex.org/C3020672099","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Longitudinal data","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C2778407155","wikidata":"https://www.wikidata.org/wiki/Q1880695","display_name":"National identity","level":3,"score":0.2651999890804291},{"id":"https://openalex.org/C2779855358","wikidata":"https://www.wikidata.org/wiki/Q7979","display_name":"British English","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.27062","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27062","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.27062","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27062","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"State-of-the-art":[0],"performance":[1],"for":[2,20,26,66,79,114,142],"Automatic":[3],"Speech":[4],"Recognition":[5],"(ASR)":[6],"largely":[7],"depends":[8],"on":[9,174],"the":[10,150,156,160,166],"availability":[11],"of":[12,90,103,117,159],"large-scale":[13,57],"labeled":[14],"corpora.":[15],"This":[16],"creates":[17],"a":[18,85,115,136],"demand":[19],"increased":[21],"data":[22,59,76,151,169,186],"collection":[23,77,152],"efforts,":[24],"particularly":[25],"under-represented":[27],"languages":[28],"and":[29,73,128,171],"dialectal":[30],"varieties.":[31],"Due":[32],"to":[33,189],"having":[34],"considerably":[35],"fewer":[36],"speakers":[37,119],"(around":[38,50],"11":[39],"million),":[40],"European":[41,91],"Portuguese":[42,48,92],"(EP)":[43],"is":[44],"overshadowed":[45],"by":[46],"Brazilian":[47],"(BP)":[49],"200":[51],"million":[52],"speakers)":[53],"in":[54,62],"currently":[55],"available":[56],"speech":[58,88,104],"resources,":[60],"resulting":[61],"under-performing":[63],"speech-based":[64],"systems":[65],"EP":[67,138],"users.":[68],"To":[69],"address":[70],"this":[71,146],"gap,":[72],"following":[74],"similar":[75],"efforts":[78],"other":[80],"languages,":[81],"we":[82,148,164],"present":[83],"FalAR,":[84],"large-scale,":[86],"speaker-annotated":[87],"corpus":[89,132],"parliamentary":[93,129],"sessions.":[94],"Spanning":[95],"approximately":[96],"20":[97],"years,":[98],"FalAR":[99,161,183],"comprises":[100],"5,800":[101],"hours":[102,109],"data.":[105],"In":[106,145],"addition,":[107],"4,850":[108],"have":[110],"speaker":[111],"identity":[112],"annotations,":[113],"total":[116],"1,180":[118],"with":[120,155,177],"associated":[121],"metadata":[122],"including":[123],"age,":[124],"gender,":[125],"political":[126],"affiliation,":[127],"role.":[130],"The":[131],"was":[133],"built":[134],"using":[135],"state-of-the-art":[137],"CAM\u00d5ES":[139],"ASR":[140,175],"model":[141],"transcription-reference":[143],"alignment.":[144],"paper,":[147],"describe":[149],"process,":[153],"together":[154],"main":[157],"characteristics":[158],"corpus.":[162],"Furthermore,":[163],"evaluate":[165],"trade-off":[167],"between":[168],"quantity":[170],"alignment":[172],"accuracy":[173],"performance,":[176],"our":[178],"experiments":[179],"demonstrating":[180],"that":[181],"incorporating":[182],"as":[184],"pre-training":[185],"yields":[187],"up":[188],"14%":[190],"relative":[191],"WER":[192],"improvement":[193],"over":[194],"baseline":[195],"models.":[196]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-28T00:00:00"}
