{"id":"https://openalex.org/W2618015847","doi":"https://doi.org/10.21437/interspeech.2017-1178","title":"ASR Error Management for Improving Spoken Language Understanding","display_name":"ASR Error Management for Improving Spoken Language Understanding","publication_year":2017,"publication_date":"2017-08-16","ids":{"openalex":"https://openalex.org/W2618015847","doi":"https://doi.org/10.21437/interspeech.2017-1178","mag":"2618015847"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2017-1178","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2017-1178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2017","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1705.09515","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110942111","display_name":"Edwin Simonnet","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108471","display_name":"Le Mans Universit\u00e9","ror":"https://ror.org/01mtcc283","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210108471"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Edwin Simonnet","raw_affiliation_strings":["LIUM - Laboratoire d'Informatique de l'Universit\u00e9 du Mans (Avenue Laennec 72085 Le Mans cedex 9 - France)"],"affiliations":[{"raw_affiliation_string":"LIUM - Laboratoire d'Informatique de l'Universit\u00e9 du Mans (Avenue Laennec 72085 Le Mans cedex 9 - France)","institution_ids":["https://openalex.org/I4210108471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000557257","display_name":"Sahar Ghannay","orcid":"https://orcid.org/0000-0002-7531-2522"},"institutions":[{"id":"https://openalex.org/I4210108471","display_name":"Le Mans Universit\u00e9","ror":"https://ror.org/01mtcc283","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210108471"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sahar Ghannay","raw_affiliation_strings":["LIUM - Laboratoire d'Informatique de l'Universit\u00e9 du Mans (Avenue Laennec 72085 Le Mans cedex 9 - France)"],"affiliations":[{"raw_affiliation_string":"LIUM - Laboratoire d'Informatique de l'Universit\u00e9 du Mans (Avenue Laennec 72085 Le Mans cedex 9 - France)","institution_ids":["https://openalex.org/I4210108471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056103113","display_name":"Nathalie Camelin","orcid":"https://orcid.org/0000-0001-6786-1372"},"institutions":[{"id":"https://openalex.org/I4210108471","display_name":"Le Mans Universit\u00e9","ror":"https://ror.org/01mtcc283","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210108471"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nathalie Camelin","raw_affiliation_strings":["LIUM - Laboratoire d'Informatique de l'Universit\u00e9 du Mans (Avenue Laennec 72085 Le Mans cedex 9 - France)"],"affiliations":[{"raw_affiliation_string":"LIUM - Laboratoire d'Informatique de l'Universit\u00e9 du Mans (Avenue Laennec 72085 Le Mans cedex 9 - France)","institution_ids":["https://openalex.org/I4210108471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081852717","display_name":"Yannick Est\u00e8ve","orcid":"https://orcid.org/0000-0002-3656-8883"},"institutions":[{"id":"https://openalex.org/I4210108471","display_name":"Le Mans Universit\u00e9","ror":"https://ror.org/01mtcc283","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210108471"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yannick Est\u00e8ve","raw_affiliation_strings":["LIUM - Laboratoire d'Informatique de l'Universit\u00e9 du Mans (Avenue Laennec 72085 Le Mans cedex 9 - France)"],"affiliations":[{"raw_affiliation_string":"LIUM - Laboratoire d'Informatique de l'Universit\u00e9 du Mans (Avenue Laennec 72085 Le Mans cedex 9 - France)","institution_ids":["https://openalex.org/I4210108471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081408760","display_name":"Renato De Mori","orcid":"https://orcid.org/0000-0002-2083-9095"},"institutions":[{"id":"https://openalex.org/I4210119991","display_name":"Laboratoire Informatique d'Avignon","ror":"https://ror.org/02n399288","country_code":"FR","type":"facility","lineage":["https://openalex.org/I198415970","https://openalex.org/I4210119991"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA","FR"],"is_corresponding":false,"raw_author_name":"Renato De Mori","raw_affiliation_strings":["LIA - Laboratoire Informatique d'Avignon (339 Chemin des Meinajaries Agroparc BP 1228 84911 Avignon cedex 9 - France)","McGill University = Universit\u00e9 McGill [Montr\u00e9al, Canada] (845, rue Sherbrooke O. Montr\u00e9al (Qu\u00e9bec) Canada H3A 0G4 - Canada)"],"affiliations":[{"raw_affiliation_string":"LIA - Laboratoire Informatique d'Avignon (339 Chemin des Meinajaries Agroparc BP 1228 84911 Avignon cedex 9 - France)","institution_ids":["https://openalex.org/I4210119991"]},{"raw_affiliation_string":"McGill University = Universit\u00e9 McGill [Montr\u00e9al, Canada] (845, rue Sherbrooke O. Montr\u00e9al (Qu\u00e9bec) Canada H3A 0G4 - Canada)","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110942111"],"corresponding_institution_ids":["https://openalex.org/I4210108471"],"apc_list":null,"apc_paid":null,"fwci":3.3258,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.93739223,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3329","last_page":"3333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9958999752998352,"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":0.9886999726295471,"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":0.8594392538070679},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6742222309112549},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.6724050045013428},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5860398411750793},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5752159357070923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5417071580886841},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.538932740688324},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48156049847602844},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.46974021196365356},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4569128453731537},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.45122379064559937},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4411768615245819},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4131067097187042},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.333529531955719},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1346297562122345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8594392538070679},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6742222309112549},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.6724050045013428},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5860398411750793},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5752159357070923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5417071580886841},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.538932740688324},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48156049847602844},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.46974021196365356},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4569128453731537},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.45122379064559937},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4411768615245819},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4131067097187042},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.333529531955719},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1346297562122345},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2017-1178","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2017-1178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2017","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1705.09515","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1705.09515","pdf_url":"https://arxiv.org/pdf/1705.09515","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1705.09515","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1705.09515","pdf_url":"https://arxiv.org/pdf/1705.09515","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2618015847.pdf","grobid_xml":"https://content.openalex.org/works/W2618015847.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2131700956","https://openalex.org/W1566315437","https://openalex.org/W4221142855","https://openalex.org/W2594897229","https://openalex.org/W2151348424","https://openalex.org/W2050138804","https://openalex.org/W767271433","https://openalex.org/W4290708361","https://openalex.org/W2129812225","https://openalex.org/W2523799048"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,25,53,93,101,110,156],"problem":[4],"of":[5,55,100],"automatic":[6],"speech":[7],"recognition":[8],"(ASR)":[9],"error":[10,59,152],"detection":[11],"and":[12,38,62,143],"their":[13],"use":[14],"for":[15,51,149],"improving":[16],"spoken":[17],"language":[18],"understanding":[19],"(SLU)":[20],"systems.":[21],"In":[22],"this":[23],"study,":[24],"SLU":[26,120],"task":[27],"consists":[28],"in":[29,41],"automatically":[30],"extracting,":[31],"from":[32],"ASR":[33,78],"transcriptions":[34],",":[35,134],"semantic":[36,56,145],"concepts":[37],"concept/values":[39],"pairs":[40],"a":[42,65,98,128],"e.g":[43],"touristic":[44],"information":[45],"system.":[46],"An":[47],"approach":[48,69,121],"is":[49,88,136],"proposed":[50,67],"enriching":[52],"set":[54],"labels":[57,61],"with":[58,97,127],"specific":[60],"by":[63,155],"using":[64],"recently":[66],"neural":[68,129],"based":[70,122,132],"on":[71,109,123],"word":[72],"embeddings":[73],"to":[74,90,138],"compute":[75],"well":[76],"calibrated":[77],"confidence":[79,141],"measures.":[80],"Experimental":[81],"results":[82,107],"are":[83],"reported":[84],"showing":[85],"that":[86,117],"it":[87,135],"possible":[89,137],"decrease":[91],"significantly":[92],"Concept/Value":[94],"Error":[95],"Rate":[96],"state":[99],"art":[102],"system,":[103],"outperforming":[104],"previously":[105],"published":[106],"performance":[108],"same":[111],"experimental":[112],"data.":[113],"It":[114],"also":[115],"shown":[116],"combining":[118],"an":[119],"conditional":[124],"random":[125],"fields":[126],"encoder/decoder":[130],"attention":[131],"architecture":[133],"effectively":[139],"identifying":[140],"islands":[142],"uncertain":[144],"output":[146],"segments":[147],"useful":[148],"deciding":[150],"appropriate":[151],"handling":[153],"actions":[154],"dialogue":[157],"manager":[158],"strategy":[159],".":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-08T06:01:36.053099","created_date":"2025-10-10T00:00:00"}
