{"id":"https://openalex.org/W1586345832","doi":"https://doi.org/10.21437/interspeech.2004-193","title":"An efficient repair procedure for quick transcriptions","display_name":"An efficient repair procedure for quick transcriptions","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W1586345832","doi":"https://doi.org/10.21437/interspeech.2004-193","mag":"1586345832"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2004-193","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","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/A5046717231","display_name":"Anand Venkataraman","orcid":"https://orcid.org/0000-0001-6303-4820"},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anand Venkataraman","raw_affiliation_strings":["SRI, International;"],"affiliations":[{"raw_affiliation_string":"SRI, International;","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060979948","display_name":"Andreas Stolcke","orcid":"https://orcid.org/0000-0002-9925-905X"},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas Stolcke","raw_affiliation_strings":["SRI, International;"],"affiliations":[{"raw_affiliation_string":"SRI, International;","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396375","display_name":"Wen Wang","orcid":"https://orcid.org/0000-0002-0356-1968"},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wen Wang","raw_affiliation_strings":["SRI, International;"],"affiliations":[{"raw_affiliation_string":"SRI, International;","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060715364","display_name":"Dimitra Vergyri","orcid":null},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitra Vergyri","raw_affiliation_strings":["SRI, International;"],"affiliations":[{"raw_affiliation_string":"SRI, International;","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101494873","display_name":"Jing Zheng","orcid":"https://orcid.org/0000-0003-2724-8471"},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Zheng","raw_affiliation_strings":["SRI, International;"],"affiliations":[{"raw_affiliation_string":"SRI, International;","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108508738","display_name":"Venkata Ramana Rao Gadde","orcid":null},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venkata Ramana Rao Gadde","raw_affiliation_strings":["SRI, International;"],"affiliations":[{"raw_affiliation_string":"SRI, International;","institution_ids":["https://openalex.org/I1298353152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5046717231"],"corresponding_institution_ids":["https://openalex.org/I1298353152"],"apc_list":null,"apc_paid":null,"fwci":5.8462,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.95801369,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1961","last_page":"1964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.991100013256073,"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":0.991100013256073,"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/T10860","display_name":"Speech and Audio Processing","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8408371210098267},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.8217034339904785},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7704309225082397},{"id":"https://openalex.org/keywords/acoustic-model","display_name":"Acoustic model","score":0.5389595031738281},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4477722644805908},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4270506501197815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3809548318386078},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.29634910821914673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8408371210098267},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.8217034339904785},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7704309225082397},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.5389595031738281},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4477722644805908},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4270506501197815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3809548318386078},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.29634910821914673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2004-193","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2140914930","https://openalex.org/W2143577772","https://openalex.org/W2964076070","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2044408773","https://openalex.org/W2130717063","https://openalex.org/W4383605217","https://openalex.org/W2533508831","https://openalex.org/W48790062","https://openalex.org/W2742699532","https://openalex.org/W4281389974","https://openalex.org/W1911859126","https://openalex.org/W2158598479","https://openalex.org/W2325482719"],"abstract_inverted_index":{"We":[0],"describe":[1],"an":[2,52],"efficient":[3],"procedure":[4,95],"for":[5,64,119,123],"automatic":[6,124],"repair":[7],"of":[8,27,36,47,58],"quickly":[9],"transcribed":[10],"(QT)":[11],"speech.":[12],"QT":[13],"speech,":[14],"typically":[15],"closed":[16],"captioned":[17],"data":[18],"from":[19,129,135,143],"television":[20],"broadcasts,":[21],"usually":[22],"has":[23,32],"a":[24,33],"significant":[25],"number":[26],"deletions":[28],"and":[29,31,60,75,87,116,142,150],"misspellings,":[30],"characteristic":[34],"absence":[35],"disfluencies":[37],"such":[38,104],"as":[39],"filled":[40],"pauses":[41],"(for":[42],"example,":[43],"um,":[44],"uh).":[45],"Errors":[46],"these":[48],"kinds":[49],"often":[50],"throw":[51],"acoustic":[53,114,121],"model":[54],"training":[55,80,92],"program":[56],"out":[57],"alignment":[59],"make":[61],"it":[62,65,84],"hard":[63],"to":[66,102],"resynchronize.":[67],"At":[68,82],"best":[69],"the":[70,79,91,113,139],"erroneous":[71],"utterance":[72],"is":[73],"discarded":[74],"does":[76],"not":[77],"benefit":[78],"procedure.":[81],"worst,":[83],"could":[85],"misalign":[86],"end":[88],"up":[89],"sabotaging":[90],"data.":[93],"The":[94],"we":[96],"propose":[97],"in":[98],"this":[99],"paper":[100],"aims":[101],"cleanse":[103],"quick":[105],"transcriptions":[106,137],"so":[107],"that":[108],"they":[109],"align":[110],"better":[111,120],"with":[112,133],"evidence":[115],"thus":[117],"provide":[118],"models":[122],"speech":[125],"recognition":[126],"(ASR).":[127],"Results":[128],"comparing":[130],"our":[131],"transcripts":[132],"those":[134],"careful":[136],"on":[138],"same":[140],"corpus,":[141],"comparable":[144],"state-of-the-art":[145],"methods":[146],"are":[147],"also":[148],"presented":[149],"discussed.":[151]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}