{"id":"https://openalex.org/W2029698437","doi":"https://doi.org/10.1109/icassp.2008.4518636","title":"Maximum entropy models for speech confidence estimation","display_name":"Maximum entropy models for speech confidence estimation","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2029698437","doi":"https://doi.org/10.1109/icassp.2008.4518636","mag":"2029698437"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2008.4518636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007022012","display_name":"Claudio Estienne","orcid":null},"institutions":[{"id":"https://openalex.org/I24354313","display_name":"Universidad de Buenos Aires","ror":"https://ror.org/0081fs513","country_code":"AR","type":"education","lineage":["https://openalex.org/I24354313"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"Claudio Estienne","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad de Buenos Aires, Argentina","Fac. de Ing., Univ. de Buenos Aires, Buenos Aires"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad de Buenos Aires, Argentina","institution_ids":["https://openalex.org/I24354313"]},{"raw_affiliation_string":"Fac. de Ing., Univ. de Buenos Aires, Buenos Aires","institution_ids":["https://openalex.org/I24354313"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108459919","display_name":"Alberto Sanch\u00eds","orcid":null},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alberto Sanchis","raw_affiliation_strings":["Departament de Sistemes Informatics i Computaci\u00f3, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain","Departament de Sistemes Inform\u00e1tics i Computaci\u00f3, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departament de Sistemes Informatics i Computaci\u00f3, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I60053951"]},{"raw_affiliation_string":"Departament de Sistemes Inform\u00e1tics i Computaci\u00f3, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040605861","display_name":"Alfons Juan","orcid":"https://orcid.org/0000-0002-9984-4072"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alfons Juan","raw_affiliation_strings":["Departament de Sistemes Informatics i Computaci\u00f3, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain","Departament de Sistemes Inform\u00e1tics i Computaci\u00f3, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departament de Sistemes Informatics i Computaci\u00f3, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I60053951"]},{"raw_affiliation_string":"Departament de Sistemes Inform\u00e1tics i Computaci\u00f3, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073107684","display_name":"Enrique Vidal","orcid":"https://orcid.org/0000-0003-4579-5196"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Enrique Vidal","raw_affiliation_strings":["Departament de Sistemes Informatics i Computaci\u00f3, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departament de Sistemes Informatics i Computaci\u00f3, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I60053951"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5036,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59403238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2652","issue":null,"first_page":"4421","last_page":"4424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9937000274658203,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9878000020980835,"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":0.7135546207427979},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6629258394241333},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.6546823978424072},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5137785077095032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.497910737991333},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.46200674772262573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4480760097503662},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.41527673602104187},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.41105616092681885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33642178773880005},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27333205938339233},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2688782513141632},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19759047031402588},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1591193974018097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7135546207427979},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6629258394241333},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.6546823978424072},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5137785077095032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.497910737991333},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.46200674772262573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4480760097503662},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.41527673602104187},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.41105616092681885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33642178773880005},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27333205938339233},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2688782513141632},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19759047031402588},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1591193974018097},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2008.4518636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.183.5886","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.183.5886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://prhlt.iti.es/papers/2008/asanchis08a.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W107734602","https://openalex.org/W131542112","https://openalex.org/W1497026191","https://openalex.org/W1540127333","https://openalex.org/W1996903695","https://openalex.org/W2011783148","https://openalex.org/W2096175520","https://openalex.org/W2101492859","https://openalex.org/W2134659216","https://openalex.org/W2150234123","https://openalex.org/W2158131286","https://openalex.org/W6605356284"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W1527297300","https://openalex.org/W2354435826","https://openalex.org/W3041490575","https://openalex.org/W2037392957","https://openalex.org/W2970690932","https://openalex.org/W2110715801"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3],"implement":[4],"a":[5,11,29,49,60,73,115],"confidence":[6,40],"estimation":[7,41],"system":[8],"based":[9],"on":[10],"Naive":[12],"Bayes":[13],"classifier,":[14],"by":[15],"using":[16],"the":[17,82,87,93,101],"maximum":[18],"entropy":[19],"paradigm.":[20],"The":[21],"model":[22,51,116],"takes":[23,53],"information":[24],"from":[25],"various":[26],"sources":[27],"including":[28],"set":[30,74],"of":[31,55,75,81,95],"scores":[32],"which":[33,52,68],"have":[34],"proved":[35],"to":[36,71,100,114],"be":[37],"useful":[38],"in":[39,59,86,92],"tasks.":[42],"Two":[43],"different":[44,110],"approaches":[45],"are":[46,106],"modeled.":[47],"First":[48],"basic":[50,102],"advantages":[54],"smoothing":[56],"techniques":[57],"used":[58],"previous":[61],"work,":[62],"and":[63,112],"second":[64],"an":[65],"optimized":[66],"model,":[67,83],"is":[69,97],"designed":[70],"hold":[72],"very":[76],"few":[77],"but":[78],"essential":[79],"characteristics":[80],"without":[84],"decrease":[85],"performance.":[88],"A":[89],"considerably":[90],"reduction":[91],"number":[94],"parameters":[96],"obtained":[98],"compared":[99,113],"model.":[103],"Both":[104],"models":[105],"evaluated":[107],"with":[108],"two":[109],"corpora":[111],"previously":[117],"developed.":[118]},"counts_by_year":[{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}