{"id":"https://openalex.org/W1974745151","doi":"https://doi.org/10.1109/icme.2013.6607546","title":"Memory efficient subsequence DTW for Query-by-Example Spoken Term Detection","display_name":"Memory efficient subsequence DTW for Query-by-Example Spoken Term Detection","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1974745151","doi":"https://doi.org/10.1109/icme.2013.6607546","mag":"1974745151"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2013.6607546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo (ICME)","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/A5051383020","display_name":"Xavier Anguera","orcid":"https://orcid.org/0000-0001-8659-3991"},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Xavier Anguera","raw_affiliation_strings":["Telefonica Research, Barcelona, Spain","Telefonica Research; Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telefonica Research, Barcelona, Spain","institution_ids":["https://openalex.org/I4210134591"]},{"raw_affiliation_string":"Telefonica Research; Barcelona, Spain","institution_ids":["https://openalex.org/I4210134591"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087191234","display_name":"Miquel Ferrarons","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miquel Ferrarons","raw_affiliation_strings":["Telefonica Research, Barcelona, Spain","Telefonica Research; Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telefonica Research, Barcelona, Spain","institution_ids":["https://openalex.org/I4210134591"]},{"raw_affiliation_string":"Telefonica Research; Barcelona, Spain","institution_ids":["https://openalex.org/I4210134591"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210134591"],"apc_list":null,"apc_paid":null,"fwci":5.4008,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.96964415,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9957000017166138,"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":0.9957000017166138,"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":0.9891999959945679,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9843000173568726,"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/dynamic-time-warping","display_name":"Dynamic time warping","score":0.9442663192749023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.842007040977478},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.811004102230072},{"id":"https://openalex.org/keywords/query-by-example","display_name":"Query by Example","score":0.6279732584953308},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6172648072242737},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5927554368972778},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.45569437742233276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39002537727355957},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35149040818214417},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3486000895500183},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.271423876285553},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2556096315383911},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.17718809843063354}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.9442663192749023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.842007040977478},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.811004102230072},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.6279732584953308},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6172648072242737},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5927554368972778},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.45569437742233276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39002537727355957},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35149040818214417},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3486000895500183},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.271423876285553},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2556096315383911},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.17718809843063354},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","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},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2013.6607546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1815792","https://openalex.org/W1490960657","https://openalex.org/W1510222456","https://openalex.org/W2057007397","https://openalex.org/W2108776455","https://openalex.org/W2114347655","https://openalex.org/W2114478143","https://openalex.org/W2126203737","https://openalex.org/W2128160875","https://openalex.org/W2139106564","https://openalex.org/W2164365067","https://openalex.org/W2171019095","https://openalex.org/W2294919013","https://openalex.org/W2295061986","https://openalex.org/W2403207842","https://openalex.org/W2407964052","https://openalex.org/W2442329935","https://openalex.org/W4240592325","https://openalex.org/W6629386585","https://openalex.org/W6630293985","https://openalex.org/W6697187339","https://openalex.org/W6697376628","https://openalex.org/W6718561954"],"related_works":["https://openalex.org/W2554075302","https://openalex.org/W3145461922","https://openalex.org/W2407016153","https://openalex.org/W2401021740","https://openalex.org/W1964543066","https://openalex.org/W4288621574","https://openalex.org/W2327909795","https://openalex.org/W1878264211","https://openalex.org/W1591808084","https://openalex.org/W2912005565"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,43,86],"fast":[6],"and":[7,59,119,137,163],"memory":[8,144],"efficient":[9],"Dynamic":[10],"Time":[11],"Warping":[12],"(MES-DTW)":[13],"algorithm":[14,26,70,148],"for":[15,38,81,116,123],"the":[16,30,36,57,65,82,90,106,128,132,143,146,171],"task":[17],"of":[18,48,154],"Query-by-Example":[19],"Spoken":[20],"Term":[21],"Detection":[22],"(QbE-STD).":[23],"The":[24,68],"proposed":[25,69,130,147],"is":[27],"based":[28],"on":[29],"subsequence-DTW":[31],"(S-DTW)":[32],"algorithm,":[33],"which":[34],"allows":[35],"search":[37,46,66],"small":[39],"spoken":[40,49],"queries":[41],"within":[42],"much":[44],"bigger":[45],"collection":[47],"documents":[50],"by":[51],"considering":[52],"fixed":[53],"start-end":[54],"points":[55],"in":[56,140,152,168],"query":[58],"discovering":[60],"optimal":[61,97],"matching":[62,91,155],"subsequences":[63],"along":[64],"collection.":[67],"applies":[71],"some":[72],"modifications":[73],"to":[74,88,109,142,158,170],"S-DTW":[75],"that":[76],"make":[77],"it":[78],"better":[79],"suited":[80],"QbE-STD":[83],"task,":[84],"including":[85,112],"way":[87],"perform":[89,110],"with":[92],"virtually":[93],"no":[94],"system":[95,107,129],"memory,":[96],"when":[98],"querying":[99],"large":[100],"scale":[101],"databases.":[102],"We":[103,126],"also":[104],"describe":[105],"used":[108],"QbE-STD,":[111],"an":[113,120,150],"energy-based":[114],"quantification":[115],"speech/non-speech":[117],"detection":[118],"overlap":[121],"detector":[122],"putative":[124],"matches.":[125],"test":[127],"using":[131],"Mediaeval":[133],"2012":[134],"spoken-web-search":[135],"dataset":[136],"show":[138],"that,":[139],"addition":[141],"savings,":[145],"brings":[149],"advantage":[151],"terms":[153],"accuracy":[156],"(up":[157],"0.235":[159],"absolute":[160],"MTWV":[161],"increase)":[162],"speed":[164],"(around":[165],"25%":[166],"faster)":[167],"comparison":[169],"original":[172],"S-DTW.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
