{"id":"https://openalex.org/W2115745641","doi":"https://doi.org/10.21437/interspeech.2009-533","title":"Auto-checking speech transcriptions by multiple template constrained posterior","display_name":"Auto-checking speech transcriptions by multiple template constrained posterior","publication_year":2009,"publication_date":"2009-09-06","ids":{"openalex":"https://openalex.org/W2115745641","doi":"https://doi.org/10.21437/interspeech.2009-533","mag":"2115745641"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2009-533","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2009-533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2009","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/A5100436501","display_name":"Lijuan Wang","orcid":"https://orcid.org/0000-0002-2517-2728"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lijuan Wang","raw_affiliation_strings":["Microsoft (United States), Redmond, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft (United States), Redmond, United States","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007030390","display_name":"Shenghao Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shenghao Qin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5065394791","display_name":"Frank K. Soong","orcid":"https://orcid.org/0000-0002-9088-3577"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Frank K. Soong","raw_affiliation_strings":["Microsoft"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12465522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1831","last_page":"1834"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T12031","display_name":"Speech and dialogue systems","score":0.9988999962806702,"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":0.9987999796867371,"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":0.8435850739479065},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5158419013023376},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.5098356604576111},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5042437314987183},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4825950860977173},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.4557478129863739},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4510381817817688},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.44862017035484314},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4377610683441162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41971391439437866},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34960299730300903}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8435850739479065},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5158419013023376},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.5098356604576111},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5042437314987183},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4825950860977173},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.4557478129863739},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4510381817817688},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.44862017035484314},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4377610683441162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41971391439437866},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34960299730300903},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":1,"locations":[{"id":"doi:10.21437/interspeech.2009-533","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2009-533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2009","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W49437105","https://openalex.org/W70278093","https://openalex.org/W85707815","https://openalex.org/W854561988","https://openalex.org/W1515452908","https://openalex.org/W2134659216","https://openalex.org/W2138550762","https://openalex.org/W2144719467","https://openalex.org/W2162011834"],"related_works":["https://openalex.org/W2309273277","https://openalex.org/W1769849273","https://openalex.org/W2061937230","https://openalex.org/W1574295218","https://openalex.org/W200981350","https://openalex.org/W2028097510","https://openalex.org/W2505877856","https://openalex.org/W2547793174","https://openalex.org/W2070212102","https://openalex.org/W2132658536"],"abstract_inverted_index":{"Checking":[0],"transcription":[1,124],"errors":[2],"in":[3,122,153,182],"speech":[4,130],"database":[5,166],"is":[6,45,68,126],"an":[7],"important":[8],"but":[9],"tedious":[10],"task":[11],"that":[12,52,135],"traditionally":[13],"requires":[14,49,72],"intensive":[15],"manual":[16,56],"labor.":[17],"In":[18,58],"[9],":[19],"Template":[20],"Constrained":[21],"Posterior":[22],"(TCP)":[23],"was":[24],"proposed":[25],"to":[26,63,90,160,170],"automate":[27],"the":[28,97,123,136,146,154,163,173,178,183],"checking":[29,137],"process":[30,138],"by":[31,113],"screening":[32],"potential":[33],"erroneous":[34,141],"sentences":[35,142,181],"with":[36],"a":[37,100],"single":[38,42],"context":[39,89,93],"template.":[40],"However,":[41],"template-based":[43],"method":[44],"not":[46],"robust":[47,70,127],"and":[48,71,125,167],"parameter":[50,77],"optimization":[51],"still":[53],"involves":[54],"some":[55],"work.":[57],"this":[59],"work,":[60],"we":[61],"propose":[62],"use":[64],"multiple":[65,82,114],"templates":[66],"which":[67],"more":[69],"no":[73],"development":[74],"data":[75],"for":[76,99,162,172],"optimization.":[78],"By":[79],"using":[80],"its":[81],"hypothesis":[83],"sifting":[84],"capabilities":[85],"-from":[86],"well-defined,":[87],"full":[88],"loosely":[91],"defined":[92],"like":[94],"wild":[95],"card,":[96],"confidence":[98,118],"focus":[101],"unit":[102,121],"can":[103],"be":[104],"measured":[105,117],"at":[106],"different":[107,129],"expected":[108],"accuracy.":[109],"The":[110],"joint":[111],"verification":[112],"TCP":[115,156],"improves":[116],"of":[119],"each":[120],"across":[128],"databases.":[131],"Experimental":[132],"results":[133],"show":[134],"automatically":[139],"separates":[140],"from":[143,158,168],"correct":[144],"ones:":[145],"sentence":[147],"error":[148],"hit":[149],"rate":[150],"decrease":[151],"rapidly":[152],"sorted":[155],"values,":[157],"59%":[159],"7%":[161],"Mexican":[164],"Spanish":[165],"63%":[169],"11%":[171],"American":[174],"English":[175],"database,":[176],"among":[177],"top":[179],"10%":[180],"rank":[184],"lists.":[185]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}