{"id":"https://openalex.org/W2296362153","doi":"https://doi.org/10.1109/taslp.2018.2815780","title":"Sparse Subspace Modeling for Query by Example Spoken Term Detection","display_name":"Sparse Subspace Modeling for Query by Example Spoken Term Detection","publication_year":2018,"publication_date":"2018-03-14","ids":{"openalex":"https://openalex.org/W2296362153","doi":"https://doi.org/10.1109/taslp.2018.2815780","mag":"2296362153"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2018.2815780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2018.2815780","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/215097","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103133511","display_name":"Dhananjay Ram","orcid":"https://orcid.org/0000-0003-1822-9199"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Dhananjay Ram","raw_affiliation_strings":["Idiap Research Institute, Martigny, Valais, CH"],"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Valais, CH","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063249055","display_name":"Afsaneh Asaei","orcid":"https://orcid.org/0000-0002-1917-601X"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Afsaneh Asaei","raw_affiliation_strings":["Idiap Research Institute, Martigny, Valais, CH"],"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Valais, CH","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108187466","display_name":"Herv\u00e9 Bourlard","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Herve Bourlard","raw_affiliation_strings":["Idiap Research Institute, Martigny, Valais, CH"],"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Valais, CH","institution_ids":["https://openalex.org/I7495430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103133511"],"corresponding_institution_ids":["https://openalex.org/I7495430"],"apc_list":null,"apc_paid":null,"fwci":2.3693,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90999226,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"26","issue":"6","first_page":"1130","last_page":"1143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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":0.9993000030517578,"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":0.8343887329101562},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6163875460624695},{"id":"https://openalex.org/keywords/query-by-example","display_name":"Query by Example","score":0.5849175453186035},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5549861192703247},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5344511866569519},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4821867048740387},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4728025794029236},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46154147386550903},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.4449017643928528},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4306027889251709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40894830226898193},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2147488296031952},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.18327048420906067},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.13832730054855347},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.11112663149833679},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0807233452796936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8343887329101562},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6163875460624695},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.5849175453186035},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5549861192703247},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5344511866569519},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4821867048740387},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4728025794029236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46154147386550903},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.4449017643928528},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4306027889251709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40894830226898193},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2147488296031952},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.18327048420906067},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.13832730054855347},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.11112663149833679},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0807233452796936},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/taslp.2018.2815780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2018.2815780","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},{"id":"pmh:oai:infoscience.epfl.ch:215097","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/215097","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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":"","raw_type":"Text"},{"id":"pmh:oai:infoscience.epfl.ch:256313","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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":"","raw_type":""},{"id":"pmh:oai:infoscience.epfl.ch:259976","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/259976","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WoS","raw_type":"research article"},{"id":"pmh:oai:infoscience.epfl.ch:263179","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/263179","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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":"http://infoscience.epfl.ch/record/263179","raw_type":""}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:215097","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/215097","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5599649393","display_name":null,"funder_award_id":"200020","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5921281487","display_name":null,"funder_award_id":"number","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W103757200","https://openalex.org/W170732776","https://openalex.org/W204308143","https://openalex.org/W228764207","https://openalex.org/W609062392","https://openalex.org/W1490960657","https://openalex.org/W1496120315","https://openalex.org/W1504869774","https://openalex.org/W1524333225","https://openalex.org/W1546169283","https://openalex.org/W1569447338","https://openalex.org/W1606311031","https://openalex.org/W1815165135","https://openalex.org/W1974745151","https://openalex.org/W1975728937","https://openalex.org/W1982570277","https://openalex.org/W1983042831","https://openalex.org/W1993962865","https://openalex.org/W2052274902","https://openalex.org/W2052382192","https://openalex.org/W2060164640","https://openalex.org/W2096140469","https://openalex.org/W2096298528","https://openalex.org/W2098044214","https://openalex.org/W2100196671","https://openalex.org/W2100768664","https://openalex.org/W2101514156","https://openalex.org/W2110625382","https://openalex.org/W2112447569","https://openalex.org/W2114347655","https://openalex.org/W2118595744","https://openalex.org/W2122994642","https://openalex.org/W2126203737","https://openalex.org/W2128160875","https://openalex.org/W2129812935","https://openalex.org/W2137044559","https://openalex.org/W2141520175","https://openalex.org/W2146229144","https://openalex.org/W2147276092","https://openalex.org/W2152354149","https://openalex.org/W2160815625","https://openalex.org/W2163957348","https://openalex.org/W2171019095","https://openalex.org/W2214579952","https://openalex.org/W2255754293","https://openalex.org/W2269021004","https://openalex.org/W2286443923","https://openalex.org/W2319531463","https://openalex.org/W2322223754","https://openalex.org/W2400445564","https://openalex.org/W2407922671","https://openalex.org/W2535503132","https://openalex.org/W2585485150","https://openalex.org/W2616503791","https://openalex.org/W3146320432","https://openalex.org/W4240286893","https://openalex.org/W6608930086","https://openalex.org/W6618759765","https://openalex.org/W6631362777","https://openalex.org/W6632583289","https://openalex.org/W6633847657","https://openalex.org/W6675022971","https://openalex.org/W6675111716","https://openalex.org/W6676727762","https://openalex.org/W6695606915","https://openalex.org/W6699947319","https://openalex.org/W6712406989","https://openalex.org/W6714027799","https://openalex.org/W6732882410","https://openalex.org/W6738286880","https://openalex.org/W6884732673"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W3004790527","https://openalex.org/W4205656132","https://openalex.org/W2998105788","https://openalex.org/W2539392819","https://openalex.org/W2111634407","https://openalex.org/W2783282829","https://openalex.org/W2579633471","https://openalex.org/W2203155458"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,25,84,199],"the":[4,38,51,67,73,96,118,135,164,172,187,194,208],"problem":[5,23],"of":[6,40,53,62,72,110],"query":[7,92,97],"by":[8],"example":[9],"spoken":[10,136],"term":[11],"detection":[12],"(QbE-STD)":[13],"in":[14,128,139],"zero-resource":[15],"scenario.":[16],"Current":[17],"state-of-the-art":[18],"approaches":[19,160],"to":[20,94,116,133,145,161,170,191],"tackle":[21],"this":[22],"rely":[24],"dynamic":[26,130],"programming":[27,131],"based":[28,83],"template":[29,147,156,173,195],"matching":[30,157,174,196],"techniques":[31],"using":[32,99,107,177,186],"phone":[33,54],"posterior":[34],"features":[35],"extracted":[36],"at":[37,154,185],"output":[39],"a":[41,60,129,140,215],"deep":[42],"neural":[43],"network.":[44],"Previously,":[45],"it":[46],"has":[47],"been":[48],"shown":[49],"that":[50,207],"space":[52],"posteriors":[55],"is":[56],"highly":[57,216],"structured,":[58],"as":[59],"union":[61],"low-dimensional":[63],"subspaces.":[64,120],"To":[65],"exploit":[66],"temporal":[68],"and":[69,158,204],"sparse":[70,85,102,108,178,188],"structure":[71],"speech":[74],"data,":[75],"we":[76,90],"investigate":[77],"here":[78],"three":[79],"different":[80,201],"QbE-STD":[81,218],"systems":[82,211],"model":[86,95],"recovery.":[87],"More":[88],"specifically,":[89],"use":[91],"examples":[93],"subspace":[98],"dictionary":[100],"for":[101],"coding.":[103],"Reconstruction":[104],"errors":[105,127,190],"calculated":[106],"representation":[109],"feature":[111],"vectors":[112],"are":[113],"then":[114],"used":[115],"characterize":[117],"underlying":[119],"The":[121,149,166,181],"first":[122,167],"approach":[123,183],"uses":[124],"these":[125],"reconstruction":[126,179,189],"framework":[132],"detect":[134],"query,":[137],"resulting":[138],"much":[141],"faster":[142],"search":[143],"compared":[144],"standard":[146],"matching.":[148],"other":[150],"two":[151,200],"methods":[152],"aim":[153],"merging":[155],"sparsity-based":[159],"further":[162],"improve":[163],"performance.":[165],"one":[168],"proposes":[169],"regularize":[171],"local":[175],"distances":[176],"errors.":[180],"second":[182],"aims":[184],"rescore":[192],"(improve)":[193],"likelihood.":[197],"Experiments":[198],"databases":[202],"(AMI":[203],"MediaEval)":[205],"show":[206],"proposed":[209],"hybrid":[210],"perform":[212],"better":[213],"than":[214],"competitive":[217],"baseline":[219],"system.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
