{"id":"https://openalex.org/W3217246256","doi":"https://doi.org/10.1109/icassp43922.2022.9747501","title":"Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions","display_name":"Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W3217246256","doi":"https://doi.org/10.1109/icassp43922.2022.9747501","mag":"3217246256"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747501","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069296252","display_name":"Chunxi Liu","orcid":"https://orcid.org/0000-0001-5441-9374"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chunxi Liu","raw_affiliation_strings":["Meta AI,USA","Meta AI, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,USA","institution_ids":[]},{"raw_affiliation_string":"Meta AI, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034529775","display_name":"Michael Picheny","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Picheny","raw_affiliation_strings":["Meta AI,USA","Meta AI, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,USA","institution_ids":[]},{"raw_affiliation_string":"Meta AI, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003052411","display_name":"Leda Sar\u0131","orcid":"https://orcid.org/0000-0002-3754-1156"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leda Sari","raw_affiliation_strings":["Meta AI,USA","Meta AI, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,USA","institution_ids":[]},{"raw_affiliation_string":"Meta AI, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003970220","display_name":"Pooja Chitkara","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pooja Chitkara","raw_affiliation_strings":["Meta AI,USA","Meta AI, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,USA","institution_ids":[]},{"raw_affiliation_string":"Meta AI, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056584611","display_name":"Alex Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alex Xiao","raw_affiliation_strings":["Meta AI,USA","Meta AI, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,USA","institution_ids":[]},{"raw_affiliation_string":"Meta AI, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088378499","display_name":"Xiaohui Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaohui Zhang","raw_affiliation_strings":["Meta AI,USA","Meta AI, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,USA","institution_ids":[]},{"raw_affiliation_string":"Meta AI, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079832471","display_name":"Mark Chou","orcid":"https://orcid.org/0000-0001-5142-2172"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark Chou","raw_affiliation_strings":["Meta AI,USA","Meta AI, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,USA","institution_ids":[]},{"raw_affiliation_string":"Meta AI, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090080879","display_name":"Andr\u00e9s Alvarado","orcid":"https://orcid.org/0000-0002-9125-1221"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andres Alvarado","raw_affiliation_strings":["Meta AI,USA","Meta AI, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,USA","institution_ids":[]},{"raw_affiliation_string":"Meta AI, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084499027","display_name":"Caner Haz\u0131rba\u015f","orcid":"https://orcid.org/0000-0003-1980-5768"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Caner Hazirbas","raw_affiliation_strings":["Meta AI,USA","Meta AI, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,USA","institution_ids":[]},{"raw_affiliation_string":"Meta AI, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051165898","display_name":"Yatharth Saraf","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yatharth Saraf","raw_affiliation_strings":["Meta AI,USA","Meta AI, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,USA","institution_ids":[]},{"raw_affiliation_string":"Meta AI, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5069296252"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.873,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87383505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"6162","last_page":"6166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9916999936103821,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9916999936103821,"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/T10028","display_name":"Topic Modeling","score":0.9915000200271606,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9894999861717224,"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/casual","display_name":"Casual","score":0.7767245173454285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.775261640548706},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6643180847167969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4043526351451874},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4038527011871338},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.05256268382072449}],"concepts":[{"id":"https://openalex.org/C2781426162","wikidata":"https://www.wikidata.org/wiki/Q2275793","display_name":"Casual","level":2,"score":0.7767245173454285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.775261640548706},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6643180847167969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4043526351451874},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4038527011871338},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.05256268382072449},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747501","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1522301498","https://openalex.org/W1586176709","https://openalex.org/W1828163288","https://openalex.org/W1932968309","https://openalex.org/W1995945562","https://openalex.org/W2100960835","https://openalex.org/W2607719644","https://openalex.org/W2726674076","https://openalex.org/W2753845591","https://openalex.org/W2788481061","https://openalex.org/W2797563284","https://openalex.org/W2885185669","https://openalex.org/W2933138175","https://openalex.org/W2936774411","https://openalex.org/W2963250244","https://openalex.org/W2964031043","https://openalex.org/W2964121744","https://openalex.org/W2983036158","https://openalex.org/W3012624518","https://openalex.org/W3025165719","https://openalex.org/W3031202003","https://openalex.org/W3097777922","https://openalex.org/W3144557079","https://openalex.org/W3146288864","https://openalex.org/W3147107444","https://openalex.org/W3149509723","https://openalex.org/W3160766462","https://openalex.org/W3162665866","https://openalex.org/W3184230132","https://openalex.org/W3186528847","https://openalex.org/W3212216134","https://openalex.org/W6631190155","https://openalex.org/W6638749077","https://openalex.org/W6740362099","https://openalex.org/W6744110554","https://openalex.org/W6748382702","https://openalex.org/W6778691839","https://openalex.org/W6793191273"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1005754617","https://openalex.org/W756683672","https://openalex.org/W2979523788","https://openalex.org/W2014044877","https://openalex.org/W3141514971","https://openalex.org/W1673318806","https://openalex.org/W3204019825"],"abstract_inverted_index":{"The":[0,74],"problem":[1],"of":[2,11,66,147],"machine":[3],"learning":[4],"systems":[5],"demonstrating":[6],"bias":[7],"towards":[8],"specific":[9],"groups":[10],"individuals":[12],"has":[13,77],"been":[14,78],"studied":[15],"extensively,":[16],"particularly":[17],"in":[18,27,113],"the":[19,135,141],"Facial":[20],"Recognition":[21,30,37],"area,":[22],"but":[23],"much":[24],"less":[25],"so":[26],"Automatic":[28],"Speech":[29,36],"(ASR).":[31],"This":[32],"paper":[33],"presents":[34],"initial":[35],"results":[38],"on":[39,97],"\u201cCasual":[40],"Conversations\u201d":[41],"\u2013":[42],"a":[43,63,145],"publicly":[44],"released":[45],"846":[46],"hour":[47,100,106],"corpus":[48,76],"designed":[49],"to":[50,139,143,149],"help":[51],"researchers":[52],"evaluate":[53],"their":[54],"computer":[55],"vision":[56],"and":[57,71,102,119],"audio":[58],"models":[59,91,95],"for":[60,82,126],"accuracy":[61],"across":[62,86,117],"diverse":[64],"set":[65],"metadata,":[67],"including":[68,94],"age,":[69],"gender,":[70],"skin":[72,120],"tone.":[73],"entire":[75],"manually":[79],"transcribed,":[80,101],"allowing":[81],"detailed":[83],"ASR":[84,90],"evaluations":[85],"these":[87,151],"metadata.":[88],"Multiple":[89],"are":[92,122,130],"evaluated,":[93],"trained":[96],"LibriSpeech,":[98],"14,000":[99],"over":[103],"2":[104],"million":[105],"untranscribed":[107],"social":[108],"media":[109],"videos.":[110],"Significant":[111],"differences":[112],"word":[114],"error":[115],"rate":[116],"gender":[118],"tone":[121],"observed":[123],"at":[124],"times":[125],"all":[127],"models.":[128],"We":[129],"releasing":[131],"human":[132],"transcripts":[133],"from":[134],"Casual":[136],"Conversations":[137],"dataset":[138],"encourage":[140],"community":[142],"develop":[144],"variety":[146],"techniques":[148],"reduce":[150],"statistical":[152],"biases.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
