{"id":"https://openalex.org/W2762466393","doi":"https://doi.org/10.1109/jstsp.2017.2762080","title":"Joint Learning of Distance Metric and Query Model for Posteriorgram-Based Keyword Search","display_name":"Joint Learning of Distance Metric and Query Model for Posteriorgram-Based Keyword Search","publication_year":2017,"publication_date":"2017-10-11","ids":{"openalex":"https://openalex.org/W2762466393","doi":"https://doi.org/10.1109/jstsp.2017.2762080","mag":"2762466393"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2017.2762080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2017.2762080","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal 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/A5002432687","display_name":"Batuhan G\u00fcndo\u011fdu","orcid":"https://orcid.org/0000-0002-9395-7519"},"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":"Batuhan Gundogdu","raw_affiliation_strings":["Department of Electrical Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-9395-7519","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007614006","display_name":"Bolaji Yusuf","orcid":"https://orcid.org/0000-0001-9852-3456"},"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":"Bolaji Yusuf","raw_affiliation_strings":["Department of Electrical Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-9852-3456","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey","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":["Department of Electrical Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-7435-8510","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002432687"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":1.8707,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8945444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"11","issue":"8","first_page":"1318","last_page":"1328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.998199999332428,"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":0.998199999332428,"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":0.9965000152587891,"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/T11309","display_name":"Music and Audio Processing","score":0.9944999814033508,"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":0.8587968945503235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5946259498596191},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5070629119873047},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5021631717681885},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4192157983779907},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.4189162850379944},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36565929651260376},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3569740653038025}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8587968945503235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5946259498596191},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5070629119873047},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5021631717681885},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4192157983779907},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.4189162850379944},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36565929651260376},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3569740653038025},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstsp.2017.2762080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2017.2762080","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2716471209","display_name":null,"funder_award_id":"116E076","funder_id":"https://openalex.org/F4320322626","funder_display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu"}],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"},{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W49437105","https://openalex.org/W103757200","https://openalex.org/W228764207","https://openalex.org/W609062392","https://openalex.org/W1461662404","https://openalex.org/W1490911310","https://openalex.org/W1524333225","https://openalex.org/W1972491652","https://openalex.org/W1979651826","https://openalex.org/W2000654171","https://openalex.org/W2005232502","https://openalex.org/W2015688877","https://openalex.org/W2026369565","https://openalex.org/W2028148926","https://openalex.org/W2056346282","https://openalex.org/W2056714990","https://openalex.org/W2074932712","https://openalex.org/W2089537772","https://openalex.org/W2090755665","https://openalex.org/W2096421062","https://openalex.org/W2096733369","https://openalex.org/W2099415988","https://openalex.org/W2110589736","https://openalex.org/W2110625382","https://openalex.org/W2111955662","https://openalex.org/W2115782554","https://openalex.org/W2126203737","https://openalex.org/W2131342762","https://openalex.org/W2136496566","https://openalex.org/W2141315442","https://openalex.org/W2148986421","https://openalex.org/W2157364932","https://openalex.org/W2167338739","https://openalex.org/W2168330663","https://openalex.org/W2171019095","https://openalex.org/W2171590421","https://openalex.org/W2187784845","https://openalex.org/W2188311715","https://openalex.org/W2198724430","https://openalex.org/W2292661944","https://openalex.org/W2293043961","https://openalex.org/W2296262906","https://openalex.org/W2296505359","https://openalex.org/W2398352857","https://openalex.org/W2402112460","https://openalex.org/W2402937204","https://openalex.org/W2403207842","https://openalex.org/W2404324365","https://openalex.org/W2407350863","https://openalex.org/W2429358129","https://openalex.org/W2442329935","https://openalex.org/W2592097916","https://openalex.org/W2750577444","https://openalex.org/W2916012275","https://openalex.org/W2916333446","https://openalex.org/W2916959077","https://openalex.org/W3099206234","https://openalex.org/W4240592325","https://openalex.org/W6608930086","https://openalex.org/W6618759765","https://openalex.org/W6628602744","https://openalex.org/W6629208684","https://openalex.org/W6631362777","https://openalex.org/W6679429981","https://openalex.org/W6684767843","https://openalex.org/W6686903304","https://openalex.org/W6696605840","https://openalex.org/W6697567733","https://openalex.org/W6713254449","https://openalex.org/W6713293463","https://openalex.org/W6713667583","https://openalex.org/W6718561954","https://openalex.org/W6759481807"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W2363545964"],"abstract_inverted_index":{"In":[0,127],"this":[1,103,193],"paper,":[2],"we":[3],"propose":[4],"a":[5,86],"novel":[6],"approach":[7],"to":[8,84,90,202,212],"keyword":[9],"search":[10,48],"(KWS)":[11],"in":[12,74,93,208],"low-resource":[13],"languages,":[14,131],"which":[15],"provides":[16,159],"an":[17,160,180,200],"alternative":[18,201],"method":[19,195],"for":[20,27,102,145],"retrieving":[21],"the":[22,28,37,47,52,75,96,122,130,132,136,149,152,156,177,214,218],"terms":[23,173],"of":[24,30,39,51,67,124,129,151,169,185,216],"interest,":[25],"especially":[26],"out":[29],"vocabulary":[31,138],"(OOV)":[32],"ones.":[33],"Our":[34],"system":[35,134,154,158],"incorporates":[36],"techniques":[38],"query-by-example":[40],"retrieval":[41,224],"tasks":[42],"into":[43],"KWS":[44,205],"and":[45,70,95,118,222],"conducts":[46],"by":[49],"means":[50],"subsequence":[53],"dynamic":[54],"time":[55],"warping":[56],"(sDTW)":[57],"algorithm.":[58],"For":[59],"this,":[60],"text":[61],"queries":[62],"are":[63],"modeled":[64],"as":[65,72,199],"sequences":[66],"feature":[68],"vectors":[69],"used":[71,92,198],"templates":[73],"search.":[76],"A":[77],"Siamese":[78],"neural":[79],"network-based":[80],"model":[81,99],"is":[82],"trained":[83],"learn":[85],"frame-level":[87],"distance":[88],"metric":[89],"be":[91,197],"sDTW":[94],"proper":[97],"query":[98],"frame":[100],"representations":[101],"learned":[104],"distance.":[105],"Experiments":[106],"conducted":[107],"on":[108,171,187],"Intelligence":[109],"Advanced":[110],"Research":[111],"Projects":[112],"Activity":[113],"Babel":[114],"Program's":[115],"Turkish,":[116],"Pashto,":[117],"Zulu":[119],"datasets":[120],"demonstrate":[121],"effectiveness":[123],"our":[125],"approach.":[126],"each":[128],"proposed":[133,153],"outperforms":[135],"large":[137],"continuous":[139],"speech":[140],"recognition":[141],"(LVCSR)":[142],"based":[143],"baseline":[144,157],"OOV":[146,188,221],"terms.":[147,189],"Furthermore,":[148],"fusion":[150,178],"with":[155,210],"average":[161,181],"relative":[162,182],"actual":[163],"term":[164],"weighted":[165],"value":[166],"(ATWV)":[167],"improvement":[168,184],"13.9%":[170],"all":[172],"and,":[174],"more":[175],"significantly,":[176],"yields":[179],"ATWV":[183],"154.5%":[186],"We":[190],"show":[191],"that":[192],"new":[194],"can":[196],"conventional":[203],"LVCSR-based":[204],"systems,":[206],"or":[207],"combination":[209],"them,":[211],"achieve":[213],"goal":[215],"closing":[217],"gap":[219],"between":[220],"in-vocabulary":[223],"performances.":[225]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}