{"id":"https://openalex.org/W4405300857","doi":"https://doi.org/10.48550/arxiv.2412.07937","title":"Style-agnostic evaluation of ASR using multiple reference transcripts","display_name":"Style-agnostic evaluation of ASR using multiple reference transcripts","publication_year":2024,"publication_date":"2024-12-10","ids":{"openalex":"https://openalex.org/W4405300857","doi":"https://doi.org/10.48550/arxiv.2412.07937"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2412.07937","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.07937","pdf_url":"https://arxiv.org/pdf/2412.07937","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.07937","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002611979","display_name":"Quinten McNamara","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"McNamara, Quinten","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Fern\u00e1ndez, Miguel \u00c1ngel del R\u00edo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fern\u00e1ndez, Miguel \u00c1ngel del R\u00edo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070176712","display_name":"Nishchal Bhandari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhandari, Nishchal","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114470234","display_name":"Martin Ratajczak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ratajczak, Martin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112888350","display_name":"Danny Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Danny","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010857889","display_name":"Corey Miller","orcid":"https://orcid.org/0000-0003-2190-2583"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miller, Corey","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5037359921","display_name":"Mig\u00fcel Jett\u00e9","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jett\u00e9, Mig\u00fcel","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5002611979"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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":0.9830999970436096,"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":0.9830999970436096,"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":0.9144999980926514,"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/style","display_name":"Style (visual arts)","score":0.8021288514137268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5413311719894409},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5130807161331177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.337268590927124},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.12302851676940918},{"id":"https://openalex.org/keywords/literature","display_name":"Literature","score":0.07818382978439331}],"concepts":[{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.8021288514137268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5413311719894409},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5130807161331177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.337268590927124},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.12302851676940918},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.07818382978439331}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2412.07937","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.07937","pdf_url":"https://arxiv.org/pdf/2412.07937","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2412.07937","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2412.07937","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2412.07937","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.07937","pdf_url":"https://arxiv.org/pdf/2412.07937","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405300857.pdf","grobid_xml":"https://content.openalex.org/works/W4405300857.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Word":[0],"error":[1],"rate":[2],"(WER)":[3],"as":[4],"a":[5,8,61,93],"metric":[6],"has":[7],"variety":[9],"of":[10,17,30,42,49,75,100,109],"limitations":[11],"that":[12,65,103],"have":[13,86],"plagued":[14],"the":[15,31,73,98,106],"field":[16],"speech":[18],"recognition.":[19],"Evaluation":[20],"datasets":[21],"suffer":[22],"from":[23],"varying":[24],"style,":[25],"formality,":[26],"and":[27,113],"inherent":[28],"ambiguity":[29],"transcription":[32],"task.":[33,115],"In":[34,83],"this":[35],"work,":[36],"we":[37,63,85],"attempt":[38],"to":[39,91],"mitigate":[40],"some":[41],"these":[43],"differences":[44],"by":[45,79],"performing":[46],"style-agnostic":[47],"evaluation":[48],"ASR":[50,81,101],"systems":[51],"using":[52],"multiple":[53],"references":[54],"transcribed":[55],"under":[56],"opposing":[57],"style":[58],"parameters.":[59],"As":[60],"result,":[62],"find":[64],"existing":[66],"WER":[67],"reports":[68],"are":[69],"likely":[70],"significantly":[71],"over-estimating":[72],"number":[74],"contentful":[76],"errors":[77],"made":[78],"state-of-the-art":[80],"systems.":[82],"addition,":[84],"found":[87],"our":[88],"multireference":[89],"method":[90],"be":[92],"useful":[94],"mechanism":[95],"for":[96],"comparing":[97],"quality":[99],"models":[102],"differ":[104],"in":[105],"stylistic":[107],"makeup":[108],"their":[110],"training":[111],"data":[112],"target":[114]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}
