{"id":"https://openalex.org/W4404102533","doi":"https://doi.org/10.1109/taslp.2024.3492799","title":"Proper Error Estimation and Calibration for Attention-Based Encoder-Decoder Models","display_name":"Proper Error Estimation and Calibration for Attention-Based Encoder-Decoder Models","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404102533","doi":"https://doi.org/10.1109/taslp.2024.3492799"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2024.3492799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2024.3492799","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5037434075","display_name":"Mun-Hak Lee","orcid":"https://orcid.org/0009-0005-7676-2532"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Mun-Hak Lee","raw_affiliation_strings":["School of Electronics, Hanyang University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronics, Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061800537","display_name":"Joon-Hyuk Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joon-Hyuk Chang","raw_affiliation_strings":["School of Electronics, Hanyang University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronics, Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037434075"],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":0.3415,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67892572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"32","issue":null,"first_page":"4919","last_page":"4930"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9811000227928162,"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/T10320","display_name":"Neural Networks and Applications","score":0.9811000227928162,"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/T11236","display_name":"Control Systems and Identification","score":0.9404000043869019,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6542493104934692},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6301233768463135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5928804874420166},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5698741674423218},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38510793447494507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3442772328853607},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2590745687484741},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25645560026168823},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09683865308761597}],"concepts":[{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6542493104934692},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6301233768463135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5928804874420166},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5698741674423218},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38510793447494507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3442772328853607},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2590745687484741},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25645560026168823},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09683865308761597},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2024.3492799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2024.3492799","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W104222852","https://openalex.org/W1494198834","https://openalex.org/W1815165135","https://openalex.org/W1856119614","https://openalex.org/W1895577753","https://openalex.org/W2012942264","https://openalex.org/W2043422002","https://openalex.org/W2105482032","https://openalex.org/W2127141656","https://openalex.org/W2130715829","https://openalex.org/W2131342762","https://openalex.org/W2137556846","https://openalex.org/W2150907703","https://openalex.org/W2157331557","https://openalex.org/W2167226181","https://openalex.org/W2254249950","https://openalex.org/W2327501763","https://openalex.org/W2526425061","https://openalex.org/W2577366047","https://openalex.org/W2888779557","https://openalex.org/W2933138175","https://openalex.org/W2962780374","https://openalex.org/W2963250244","https://openalex.org/W2963747784","https://openalex.org/W2970121940","https://openalex.org/W2996639726","https://openalex.org/W3035072529","https://openalex.org/W3095697114","https://openalex.org/W3097375352","https://openalex.org/W3113417909","https://openalex.org/W3152221657","https://openalex.org/W3163169798","https://openalex.org/W3196548933","https://openalex.org/W3198638539","https://openalex.org/W4206584443","https://openalex.org/W4221160683","https://openalex.org/W4285112711","https://openalex.org/W4385245566","https://openalex.org/W4385822590","https://openalex.org/W4391021706","https://openalex.org/W6623517193","https://openalex.org/W6636501900","https://openalex.org/W6638749077","https://openalex.org/W6640090968","https://openalex.org/W6679436768","https://openalex.org/W6730042731","https://openalex.org/W6739651123","https://openalex.org/W6745136726","https://openalex.org/W6754576867","https://openalex.org/W6760337485","https://openalex.org/W6767220907","https://openalex.org/W6796952974","https://openalex.org/W6850203366"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W2053286651","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W2181743346"],"abstract_inverted_index":{"An":[0],"attention-based":[1,33],"automatic":[2],"speech":[3],"recognition":[4],"(ASR)":[5],"model":[6,53,59,118,143],"generates":[7],"a":[8,86,102],"probability":[9,30],"distribution":[10],"of":[11,32,48,115,140],"the":[12,28,39,46,63,75,92,96,112,116,120,126,132,137,141,146],"tokens":[13],"set":[14],"at":[15,74,95,119],"each":[16],"time":[17],"step.":[18],"Recent":[19],"studies":[20],"have":[21],"shown":[22],"that":[23,67,90,131],"calibration":[24,49,72,88,93,105,113,138],"errors":[25,50,73],"exist":[26],"in":[27,51],"output":[29],"distributions":[31],"ASR":[34,52,81,117,127,142],"models":[35],"trained":[36],"to":[37,110],"minimize":[38],"negative":[40],"log":[41],"likelihood.":[42],"This":[43],"study":[44],"analyzes":[45],"causes":[47],"outputs":[54],"and":[55,107,144],"their":[56],"impact":[57],"on":[58,62],"performance.":[60,148],"Based":[61],"analysis,":[64],"we":[65,84,100,129],"argue":[66],"conventional":[68],"methods":[69,134],"for":[70,80],"estimating":[71],"token":[76],"level":[77],"are":[78],"unsuitable":[79],"tasks.":[82],"Accordingly,":[83],"propose":[85],"new":[87,103],"measure":[89],"estimates":[91],"error":[94,114,139],"sequence":[97,121],"level.":[98,122],"Moreover,":[99],"present":[101],"post-hoc":[104],"function":[106],"training":[108],"objective":[109],"mitigate":[111],"Through":[123],"experiments":[124],"using":[125],"benchmark,":[128],"show":[130],"proposed":[133],"effectively":[135],"alleviate":[136],"improve":[145],"generalization":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}