{"id":"https://openalex.org/W2322715524","doi":"https://doi.org/10.1109/siu.2015.7130046","title":"Discriminative training of the keyword search confusion model","display_name":"Discriminative training of the keyword search confusion model","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W2322715524","doi":"https://doi.org/10.1109/siu.2015.7130046","mag":"2322715524"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2015.7130046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd Signal Processing and Communications Applications Conference (SIU)","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/A5003052411","display_name":"Leda Sar\u0131","orcid":"https://orcid.org/0000-0002-3754-1156"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Leda Sari","raw_affiliation_strings":["Elektrik-Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik-Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055086464","display_name":"Murat Sara\u00e7lar","orcid":"https://orcid.org/0000-0002-7435-8510"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Murat Saraclar","raw_affiliation_strings":["Bogazici Universitesi, Istanbul, TR"],"affiliations":[{"raw_affiliation_string":"Bogazici Universitesi, Istanbul, TR","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003052411"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11406275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1175","last_page":"1178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9962999820709229,"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":0.9952999949455261,"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/discriminative-model","display_name":"Discriminative model","score":0.9172087907791138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8021279573440552},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.7426749467849731},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6343531012535095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5431716442108154},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5303398370742798},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.48371201753616333},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4369819462299347},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3746631145477295},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35876917839050293},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35373902320861816},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34745126962661743}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9172087907791138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8021279573440552},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.7426749467849731},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6343531012535095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5431716442108154},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5303398370742798},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.48371201753616333},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4369819462299347},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3746631145477295},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35876917839050293},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35373902320861816},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34745126962661743},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2015.7130046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W49437105","https://openalex.org/W85622666","https://openalex.org/W1582482241","https://openalex.org/W1974205368","https://openalex.org/W2000654171","https://openalex.org/W2056346282","https://openalex.org/W2074932712","https://openalex.org/W2110625382","https://openalex.org/W2142986430","https://openalex.org/W2167338739","https://openalex.org/W2402972567","https://openalex.org/W2442329935","https://openalex.org/W6713436725","https://openalex.org/W6718561954"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2352004550","https://openalex.org/W4394050964","https://openalex.org/W3172695526","https://openalex.org/W2551249631"],"abstract_inverted_index":{"Keyword":[0],"search":[1],"(KWS)":[2],"systems":[3],"based":[4],"on":[5],"automatic":[6],"speech":[7],"recognition":[8],"lattices":[9],"require":[10],"sufficient":[11],"amount":[12],"of":[13,18,68,80,86],"transcribed":[14],"data.":[15],"However,":[16],"out":[17],"vocabulary":[19],"queries":[20,51],"are":[21],"frequently":[22],"encountered":[23],"in":[24,94,110],"low":[25],"resource":[26],"languages":[27],"and":[28],"they":[29],"lower":[30],"the":[31,54,65,69,73,81,87,95,98,111],"KWS":[32,70,112],"performance.":[33],"One":[34],"method":[35],"to":[36,41,63],"overcome":[37],"this":[38,58],"problem":[39],"is":[40,62,90,102,108],"use":[42],"confusion":[43],"model":[44],"(CM)":[45],"that":[46],"allows":[47],"searching":[48],"for":[49],"expanded":[50],"along":[52],"with":[53,104],"original":[55],"query.":[56],"In":[57],"study,":[59],"our":[60],"aim":[61],"maximize":[64],"performance":[66,96],"criterion":[67],"system,":[71],"namely":[72],"Term":[74],"Weighted":[75],"Value,":[76],"by":[77],"discriminative":[78],"training":[79],"CM.":[82],"As":[83],"a":[84,105],"result":[85],"experiments,":[88],"there":[89],"2":[91],"percent":[92],"increase":[93],"when":[97],"trained":[99],"CM":[100,107],"which":[101],"initialized":[103],"random":[106],"used":[109],"system.":[113]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}