{"id":"https://openalex.org/W2012060148","doi":"https://doi.org/10.1109/slt.2014.7078576","title":"Joint decoding of complementary utterances","display_name":"Joint decoding of complementary utterances","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2012060148","doi":"https://doi.org/10.1109/slt.2014.7078576","mag":"2012060148"},"language":"en","primary_location":{"id":"doi:10.1109/slt.2014.7078576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2014.7078576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Spoken Language Technology Workshop (SLT)","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/A5071001941","display_name":"Micka\u00ebl Rouvier","orcid":"https://orcid.org/0000-0003-3541-3385"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Mickael Rouvier","raw_affiliation_strings":["CNRS, Aix-Marseille University, Marseille, France","Aix-Marseille University, CNRS, LIF UMR 7279, 13000, France"],"affiliations":[{"raw_affiliation_string":"CNRS, Aix-Marseille University, Marseille, France","institution_ids":["https://openalex.org/I21491767","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Aix-Marseille University, CNRS, LIF UMR 7279, 13000, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I21491767"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071505335","display_name":"Beno\u00eet Favre","orcid":"https://orcid.org/0000-0002-9777-4613"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benoit Favre","raw_affiliation_strings":["CNRS, Aix-Marseille University, Marseille, France","Aix-Marseille University, CNRS, LIF UMR 7279, 13000, France"],"affiliations":[{"raw_affiliation_string":"CNRS, Aix-Marseille University, Marseille, France","institution_ids":["https://openalex.org/I21491767","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Aix-Marseille University, CNRS, LIF UMR 7279, 13000, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I21491767"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110498175","display_name":"Fr\u00e9d\u00e9ric B\u00e9chet","orcid":null},"institutions":[{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Frederic Bechet","raw_affiliation_strings":["CNRS, Aix-Marseille University, Marseille, France","Aix-Marseille University, CNRS, LIF UMR 7279, 13000, France"],"affiliations":[{"raw_affiliation_string":"CNRS, Aix-Marseille University, Marseille, France","institution_ids":["https://openalex.org/I21491767","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Aix-Marseille University, CNRS, LIF UMR 7279, 13000, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I21491767"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071001941"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I21491767"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07118427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"212","last_page":"217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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/T10201","display_name":"Speech Recognition and Synthesis","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/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/T10181","display_name":"Natural Language Processing Techniques","score":0.9987000226974487,"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/utterance","display_name":"Utterance","score":0.914960503578186},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.8671239018440247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8042130470275879},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.715438187122345},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6645449995994568},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6081827878952026},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6074532866477966},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5622715353965759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5251773595809937},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5210677981376648},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5002405643463135},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4738752543926239},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4661504030227661},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3313502371311188},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1026742160320282}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.914960503578186},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8671239018440247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8042130470275879},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.715438187122345},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6645449995994568},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6081827878952026},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6074532866477966},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5622715353965759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5251773595809937},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5210677981376648},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5002405643463135},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4738752543926239},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4661504030227661},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3313502371311188},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1026742160320282},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/slt.2014.7078576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2014.7078576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W131826793","https://openalex.org/W142887051","https://openalex.org/W1526729636","https://openalex.org/W1614298861","https://openalex.org/W1812474519","https://openalex.org/W1911617227","https://openalex.org/W1971937265","https://openalex.org/W2032595071","https://openalex.org/W2037740282","https://openalex.org/W2059795879","https://openalex.org/W2067508407","https://openalex.org/W2087382212","https://openalex.org/W2102443632","https://openalex.org/W2123663313","https://openalex.org/W2127836646","https://openalex.org/W2157669365","https://openalex.org/W2791480316","https://openalex.org/W4322714879","https://openalex.org/W6605420736","https://openalex.org/W6631471336","https://openalex.org/W6636510571","https://openalex.org/W6638023540","https://openalex.org/W6682899476"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W3177678247","https://openalex.org/W2333799855","https://openalex.org/W1999617572","https://openalex.org/W2944572343","https://openalex.org/W2351687372","https://openalex.org/W2004087835","https://openalex.org/W2883671469"],"abstract_inverted_index":{"Errors":[0],"in":[1,15,27,68],"open-domain":[2],"ASR":[3],"can":[4],"be":[5],"corrected":[6],"by":[7],"asking":[8],"the":[9,33,52,58,69,79,95],"speaker":[10],"to":[11,93],"rephrase":[12],"targeted":[13],"segments":[14],"utterances":[16,54],"where":[17,35],"they":[18,61],"have":[19,37],"been":[20,38],"detected.":[21],"The":[22,63],"utterance":[23,34],"merging":[24],"problem":[25],"consists":[26],"generating":[28],"a":[29,41,73],"better":[30],"transcript":[31],"from":[32,57],"errors":[36],"detected":[39],"and":[40,55],"clarification":[42],"utterance.":[43],"We":[44],"introduce":[45],"an":[46,85],"alignment-decoding":[47],"algorithm":[48,64],"for":[49],"jointly":[50],"processing":[51],"two":[53],"benefit":[56],"complementary":[59],"information":[60],"contain.":[62],"aligns":[65],"word":[66],"lattices":[67],"WFST":[70],"framework":[71],"with":[72],"probabilistic":[74],"cost":[75],"model.":[76],"Results":[77],"on":[78],"BOLT-BC":[80],"speech-to-speech":[81],"translation":[82],"task":[83],"show":[84],"improvement":[86],"of":[87,90],"2.84":[88],"points":[89],"accuracy":[91],"compared":[92],"aligning":[94],"one":[96],"best":[97],"without":[98],"joint":[99],"decoding.":[100]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
