{"id":"https://openalex.org/W2786476081","doi":"https://doi.org/10.1109/asru.2017.8268909","title":"Noise-robust exemplar matching for rescoring query-by-example search","display_name":"Noise-robust exemplar matching for rescoring query-by-example search","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2786476081","doi":"https://doi.org/10.1109/asru.2017.8268909","mag":"2786476081"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2017.8268909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2017.8268909","pdf_url":null,"source":{"id":"https://openalex.org/S4306498158","display_name":"2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","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/A5004568334","display_name":"Emre Y\u0131lmaz","orcid":"https://orcid.org/0000-0001-7466-3358"},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]},{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL","US"],"is_corresponding":false,"raw_author_name":"Emre Yilmaz","raw_affiliation_strings":["CLS/CLST, Radboud University, Nijmegen, Netherlands","Speech Technology and Research Laboratory, SRI International, Menlo Park, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CLS/CLST, Radboud University, Nijmegen, Netherlands","institution_ids":["https://openalex.org/I145872427"]},{"raw_affiliation_string":"Speech Technology and Research Laboratory, SRI International, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058481276","display_name":"Julien van Hout","orcid":null},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julien van Hout","raw_affiliation_strings":["Speech Technology and Research Laboratory, SRI International, Menlo Park, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Technology and Research Laboratory, SRI International, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112857367","display_name":"Horacio Franco","orcid":null},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Horacio Franco","raw_affiliation_strings":["Speech Technology and Research Laboratory, SRI International, Menlo Park, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Technology and Research Laboratory, SRI International, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I1298353152"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1749,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4180491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9991000294685364,"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":0.9958999752998352,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9930999875068665,"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/computer-science","display_name":"Computer science","score":0.8161979913711548},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6663784980773926},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6129578351974487},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4374580681324005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30652403831481934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05232524871826172}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8161979913711548},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6663784980773926},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6129578351974487},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4374580681324005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30652403831481934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05232524871826172},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/asru.2017.8268909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2017.8268909","pdf_url":null,"source":{"id":"https://openalex.org/S4306498158","display_name":"2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/145621","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/145621","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"},{"id":"pmh:oai:repository.ubn.ru.nl:2066/183677","is_oa":false,"landing_page_url":"http://hdl.handle.net/2066/183677","pdf_url":null,"source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of ASRU 2017. IEEE Automatic Speech Recognition and Understanding, pp. 1-7","raw_type":"Article in monograph or in proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6000000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W170732776","https://openalex.org/W1567520911","https://openalex.org/W1580290522","https://openalex.org/W1968906488","https://openalex.org/W1970890968","https://openalex.org/W1974745151","https://openalex.org/W1995562189","https://openalex.org/W2006780816","https://openalex.org/W2022257069","https://openalex.org/W2118718620","https://openalex.org/W2126203737","https://openalex.org/W2132972617","https://openalex.org/W2137044559","https://openalex.org/W2141520175","https://openalex.org/W2150415460","https://openalex.org/W2150863656","https://openalex.org/W2171019095","https://openalex.org/W2216056764","https://openalex.org/W2322223754","https://openalex.org/W2398352857","https://openalex.org/W2407094086","https://openalex.org/W2586232309","https://openalex.org/W2916959077","https://openalex.org/W4243044416","https://openalex.org/W6677759377","https://openalex.org/W6713667318","https://openalex.org/W6760389155"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,12,83,95,152],"two-step":[4,142],"approach":[5,145],"for":[6,122],"keyword":[7,105,143,148],"spotting":[8,106,144],"task":[9],"in":[10,38],"which":[11],"query-by-example":[13],"(QbE)":[14],"search":[15,39],"is":[16,33],"followed":[17],"by":[18,56,93],"noise":[19],"robust":[20],"exemplar":[21,89],"matching":[22],"(N-REM)":[23],"rescoring.":[24],"In":[25,41],"the":[26,42,52,57,61,66,75,80,88,109,124,140],"first":[27],"stage,":[28,44],"subsequence":[29],"dynamic":[30],"time":[31],"warping":[32],"performed":[34],"to":[35,70,82,151],"detect":[36],"keywords":[37],"utterances.":[40],"second":[43],"these":[45],"target":[46,76],"frame":[47,77,85],"sequences":[48],"are":[49,91],"rescored":[50],"using":[51,129],"reconstruction":[53,127],"errors":[54,128],"provided":[55],"linear":[58],"combination":[59],"of":[60,118],"available":[62],"exemplars":[63,81],"extracted":[64],"from":[65],"training":[67],"data.":[68],"Due":[69],"data":[71],"sparsity,":[72],"we":[73],"align":[74],"sequence":[78],"and":[79,87,115,126],"common":[84],"length":[86],"weights":[90,125],"obtained":[92],"solving":[94],"convex":[96],"optimization":[97],"problem":[98],"with":[99,154],"nonnegative":[100],"sparse":[101],"coding.":[102],"We":[103],"run":[104],"experiments":[107],"on":[108],"Air":[110],"Traffic":[111],"Control":[112],"(ATC)":[113],"database":[114],"evaluate":[116],"performance":[117],"multiple":[119],"distance":[120],"metrics":[121],"calculating":[123],"convolutional":[130],"neural":[131],"network":[132],"(CNN)":[133],"bottleneck":[134],"features.":[135],"The":[136],"results":[137],"demonstrate":[138],"that":[139],"proposed":[141],"provides":[146],"better":[147],"detection":[149],"compared":[150],"baseline":[153],"only":[155],"QbE":[156],"search.":[157]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}