{"id":"https://openalex.org/W2149427207","doi":"https://doi.org/10.1109/asru.2009.5373347","title":"Automatic selection of recognition errors by respeaking the intended text","display_name":"Automatic selection of recognition errors by respeaking the intended text","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2149427207","doi":"https://doi.org/10.1109/asru.2009.5373347","mag":"2149427207"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2009.5373347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2009.5373347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Automatic Speech Recognition & Understanding","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/A5030075645","display_name":"Keith Vertanen","orcid":"https://orcid.org/0000-0002-7814-2450"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Keith Vertanen","raw_affiliation_strings":["Cavendish Laboratory, University of Cambridge, Cambridge, UK"],"affiliations":[{"raw_affiliation_string":"Cavendish Laboratory, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042452579","display_name":"Per Ola Kristensson","orcid":"https://orcid.org/0000-0002-7139-871X"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Per Ola Kristensson","raw_affiliation_strings":["Cavendish Laboratory, University of Cambridge, Cambridge, UK"],"affiliations":[{"raw_affiliation_string":"Cavendish Laboratory, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030075645"],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":1.8065,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88219632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9994999766349792,"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/T12031","display_name":"Speech and dialogue systems","score":0.9994999766349792,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991999864578247,"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":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.8851405382156372},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6870932579040527},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6715637445449829},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6058074831962585},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5893508195877075},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5858668088912964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5515036582946777},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.5032886862754822},{"id":"https://openalex.org/keywords/text-recognition","display_name":"Text recognition","score":0.47367507219314575},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.44113689661026},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3376796543598175},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07321181893348694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8851405382156372},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6870932579040527},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6715637445449829},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6058074831962585},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5893508195877075},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5858668088912964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515036582946777},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.5032886862754822},{"id":"https://openalex.org/C2983812711","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text recognition","level":3,"score":0.47367507219314575},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.44113689661026},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3376796543598175},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07321181893348694},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/asru.2009.5373347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2009.5373347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Automatic Speech Recognition & Understanding","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.208.7026","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.7026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.keithv.com/pub/autoselect/autoselect.pdf","raw_type":"text"},{"id":"pmh:oai:generic.eprints.org:548785","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/548785/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W93888255","https://openalex.org/W1797288984","https://openalex.org/W2088733095","https://openalex.org/W2155495712","https://openalex.org/W2156885227","https://openalex.org/W2165269919","https://openalex.org/W2594610113","https://openalex.org/W6603883674","https://openalex.org/W6638218882","https://openalex.org/W6683187618"],"related_works":["https://openalex.org/W4285488523","https://openalex.org/W2407837381","https://openalex.org/W2011367623","https://openalex.org/W2734065904","https://openalex.org/W2049289069","https://openalex.org/W2067843453","https://openalex.org/W4239320552","https://openalex.org/W2392692716","https://openalex.org/W2944691285","https://openalex.org/W4386590374"],"abstract_inverted_index":{"We":[0,30,71,82,101,118,141],"investigate":[1],"how":[2,143],"to":[3,56,61,99,115,139,182],"automatically":[4,36],"align":[5],"spoken":[6],"corrections":[7],"with":[8,75,174],"an":[9],"initial":[10,66,132],"speech":[11],"recognition":[12,67],"result.":[13],"Such":[14],"automatic":[15],"alignment":[16,95,135,161],"would":[17],"enable":[18],"one-step":[19],"voice-only":[20],"correction":[21,152],"in":[22,130],"which":[23],"users":[24,55,107,127,167],"simply":[25],"respeak":[26],"their":[27,131,169],"intended":[28,60,170],"text.":[29,185],"present":[31],"three":[32],"new":[33],"models":[34,74,145],"for":[35],"aligning":[37],"corrections:":[38],"a":[39,42,48,87,104],"1-best":[40],"model,":[41,46],"word":[43,90],"confusion":[44],"network":[45],"and":[47,154,173],"revision":[49,52,122],"model.":[50],"The":[51],"model":[53,123],"allows":[54],"alter":[57],"what":[58],"they":[59,179],"write":[62],"even":[63],"when":[64,126],"the":[65,121],"was":[68],"completely":[69],"correct.":[70],"evaluate":[72],"our":[73,144],"data":[76],"gathered":[77],"from":[78,97,137],"two":[79],"user":[80],"studies.":[81],"show":[83,142,156],"that":[84,103,120,157,166],"providing":[85],"just":[86],"single":[88],"correct":[89],"of":[91,106],"context":[92,110],"dramatically":[93],"improves":[94],"success":[96,136],"65%":[98],"84%.":[100],"find":[102,119],"majority":[105],"provide":[108],"such":[109,158],"without":[111],"being":[112],"explicitly":[113],"instructed":[114],"do":[116],"so.":[117],"is":[124],"superior":[125],"modify":[128],"words":[129],"recognition,":[133],"improving":[134],"73%":[138],"83%.":[140],"can":[146],"easily":[147],"incorporate":[148],"prior":[149],"information":[150,159],"about":[151],"location":[153],"we":[155,164],"aids":[160],"success.":[162],"Last,":[163],"observe":[165],"speak":[168,183],"text":[171],"faster":[172],"fewer":[175],"re-recordings":[176],"than":[177],"if":[178],"are":[180],"forced":[181],"misrecognized":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}