{"id":"https://openalex.org/W2105016867","doi":"https://doi.org/10.1109/icassp.2014.6855121","title":"Unsupervised spoken term detection with spoken queries by multi-level acoustic patterns with varying model granularity","display_name":"Unsupervised spoken term detection with spoken queries by multi-level acoustic patterns with varying model granularity","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2105016867","doi":"https://doi.org/10.1109/icassp.2014.6855121","mag":"2105016867"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6855121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6855121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5102330488","display_name":"Cheng-Tao Chung","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Tao Chung","raw_affiliation_strings":["Graduate Institute of Electrical Engineering, National Taiwan University","Grad. Inst. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Electrical Engineering, National Taiwan University","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Grad. Inst. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105193799","display_name":"Chun-an Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-an Chan","raw_affiliation_strings":["Graduate Institute of Communication Engineering, National Taiwan University","[Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Taiwan University","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"[Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan]","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044010123","display_name":"Lin-shan Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Lin-shan Lee","raw_affiliation_strings":["Graduate Institute of Communication Engineering, National Taiwan University","Grad. Inst. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Taiwan University","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Grad. Inst. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":2.8948,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92790968,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"51","issue":null,"first_page":"7814","last_page":"7818"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9908000230789185,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9886999726295471,"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/granularity","display_name":"Granularity","score":0.7925049066543579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7703426480293274},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.7392380237579346},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5512519478797913},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5325737595558167},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5291638374328613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5211105942726135},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4840325713157654},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4674193561077118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4586198031902313},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45492568612098694},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4234144985675812},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13578665256500244},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1331639289855957},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08148011565208435}],"concepts":[{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.7925049066543579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7703426480293274},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.7392380237579346},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5512519478797913},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5325737595558167},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5291638374328613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5211105942726135},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4840325713157654},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4674193561077118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4586198031902313},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45492568612098694},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4234144985675812},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13578665256500244},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1331639289855957},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08148011565208435},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":1,"locations":[{"id":"doi:10.1109/icassp.2014.6855121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6855121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W30845872","https://openalex.org/W49437105","https://openalex.org/W51277926","https://openalex.org/W114193738","https://openalex.org/W1534656595","https://openalex.org/W1851597118","https://openalex.org/W1973435495","https://openalex.org/W1991727948","https://openalex.org/W2015688877","https://openalex.org/W2033178790","https://openalex.org/W2053306448","https://openalex.org/W2096298528","https://openalex.org/W2110589736","https://openalex.org/W2111942273","https://openalex.org/W2116422968","https://openalex.org/W2121742134","https://openalex.org/W2126203737","https://openalex.org/W2134131174","https://openalex.org/W2149427297","https://openalex.org/W2164365067","https://openalex.org/W2170659185","https://openalex.org/W2293210169","https://openalex.org/W2401464865","https://openalex.org/W2403642609","https://openalex.org/W2407151108","https://openalex.org/W2407964052","https://openalex.org/W2612891210","https://openalex.org/W6602023532","https://openalex.org/W6604666349"],"related_works":["https://openalex.org/W80423236","https://openalex.org/W2501000458","https://openalex.org/W2155033763","https://openalex.org/W3134920593","https://openalex.org/W1990589093","https://openalex.org/W1578749070","https://openalex.org/W2148099973","https://openalex.org/W2340308015","https://openalex.org/W2146842779","https://openalex.org/W2083296885"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,44,93],"new":[4],"approach":[5,144],"for":[6,97],"unsupervised":[7,148],"Spoken":[8],"Term":[9],"Detection":[10],"with":[11],"spoken":[12,78,83,86],"queries":[13],"using":[14],"multiple":[15],"sets":[16,50],"of":[17,31,36,40,51,76,90,95],"acoustic":[18,52,91,131],"patterns":[19,53],"automatically":[20,54],"discovered":[21,55],"from":[22],"the":[23,74,77,82,99,105,115,123,147,159],"target":[24],"corpus.":[25,161],"The":[26,139],"different":[27,57,128],"pattern":[28,100],"HMM":[29],"configurations(number":[30],"states":[32],"per":[33,42],"model,":[34],"number":[35,39],"distinct":[37],"models,":[38],"Gaussians":[41],"state)form":[43],"three-dimensional":[45,63],"model":[46],"granularity":[47],"space.":[48],"Different":[49],"on":[56,158],"points":[58],"properly":[59],"distributed":[60],"over":[61],"this":[62,111,143],"space":[64],"are":[65,108],"complementary":[66],"to":[67],"one":[68],"another,":[69],"thus":[70],"can":[71,119,133],"jointly":[72],"capture":[73],"characteristics":[75],"terms.":[79],"By":[80],"representing":[81],"content":[84],"and":[85,130],"query":[87],"as":[88],"sequences":[89,102],"patterns,":[92],"series":[94],"approaches":[96],"matching":[98],"index":[101],"while":[103],"considering":[104],"signal":[106,124],"variations":[107],"developed.":[109],"In":[110],"way,":[112],"not":[113],"only":[114],"on-line":[116],"computation":[117],"load":[118],"be":[120,134],"reduced,":[121],"but":[122],"distributions":[125],"caused":[126],"by":[127,152],"speakers":[129],"conditions":[132],"reasonably":[135],"taken":[136],"care":[137],"of.":[138],"results":[140],"indicate":[141],"that":[142],"significantly":[145],"outperformed":[146],"feature-based":[149],"DTW":[150],"baseline":[151],"16.16%":[153],"in":[154],"mean":[155],"average":[156],"precision":[157],"TIMIT":[160]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
