{"id":"https://openalex.org/W1578200545","doi":"https://doi.org/10.21437/interspeech.2006-644","title":"Using posterior-based features in template matching for speech recognition","display_name":"Using posterior-based features in template matching for speech recognition","publication_year":2006,"publication_date":"2006-09-17","ids":{"openalex":"https://openalex.org/W1578200545","doi":"https://doi.org/10.21437/interspeech.2006-644","mag":"1578200545"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2006-644","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2006-644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2006","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/record/145922/files/aradilla-icslp-2006.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048934331","display_name":"Guillermo Aradilla","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":"Guillermo Aradilla","raw_affiliation_strings":["IDIAP research institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDIAP research institute","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106182403","display_name":"Jithendra Vepa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jithendra Vepa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108187466","display_name":"Herv\u00e9 Bourlard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Herv\u00e9 Bourlard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9323,"has_fulltext":true,"cited_by_count":52,"citation_normalized_percentile":{"value":0.91596835,"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":"paper 1186","last_page":"Thu2CaP.13"},"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":0.9994000196456909,"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":0.9987000226974487,"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":0.7889781594276428},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6829639077186584},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6150400042533875},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5996381044387817},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.5845039486885071},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.5841307640075684},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5729638338088989},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.5593546628952026},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.5209735035896301},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.517289400100708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4866386353969574},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45933523774147034},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.44847556948661804},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.44734546542167664},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3187582492828369},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10562270879745483},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.092529296875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889781594276428},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6829639077186584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6150400042533875},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5996381044387817},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.5845039486885071},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.5841307640075684},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5729638338088989},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5593546628952026},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.5209735035896301},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.517289400100708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4866386353969574},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45933523774147034},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.44847556948661804},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.44734546542167664},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3187582492828369},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10562270879745483},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.092529296875},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/interspeech.2006-644","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2006-644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2006","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.tind.io:145922","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/145922","pdf_url":"https://infoscience.epfl.ch/record/145922/files/aradilla-icslp-2006.pdf","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":"","raw_type":"conference proceedings"},{"id":"pmh:oai:infoscience.tind.io:85982","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/85982","pdf_url":"http://infoscience.epfl.ch/record/85982","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":"","raw_type":"report"}],"best_oa_location":{"id":"pmh:oai:infoscience.tind.io:145922","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/145922","pdf_url":"https://infoscience.epfl.ch/record/145922/files/aradilla-icslp-2006.pdf","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":"","raw_type":"conference proceedings"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5199999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1578200545.pdf","grobid_xml":"https://content.openalex.org/works/W1578200545.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W156258841","https://openalex.org/W197151588","https://openalex.org/W204308143","https://openalex.org/W1494243555","https://openalex.org/W1560013842","https://openalex.org/W1985836220","https://openalex.org/W2095959744","https://openalex.org/W2104485902","https://openalex.org/W2120137673","https://openalex.org/W2125838338","https://openalex.org/W2155368638","https://openalex.org/W2165712214","https://openalex.org/W2947000318","https://openalex.org/W4240972252","https://openalex.org/W4253573210"],"related_works":["https://openalex.org/W4382795578","https://openalex.org/W2355463328","https://openalex.org/W2402648945","https://openalex.org/W1431147547","https://openalex.org/W2771741613","https://openalex.org/W2055761197","https://openalex.org/W2053213469","https://openalex.org/W2057608111","https://openalex.org/W3214222012","https://openalex.org/W2115685217"],"abstract_inverted_index":{"Given":[0],"the":[1,10,17,67,84,91,143,146],"availability":[2],"of":[3,12,19,43,53,86,114,145,152],"large":[4],"speech":[5,25,37],"corpora,":[6],"as":[7,9,51,125,137,161],"well":[8],"increasing":[11],"memory":[13],"and":[14,55,75],"computational":[15],"resources,":[16],"use":[18,85],"template":[20],"matching":[21],"approaches":[22],"for":[23],"automatic":[24],"recognition":[26,81],"(ASR)":[27],"have":[28],"recently":[29],"attracted":[30],"new":[31],"attention.":[32],"In":[33,66],"such":[34,50],"template-based":[35,73,93,147],"approaches,":[36,94],"is":[38],"typically":[39],"represented":[40],"in":[41],"terms":[42],"acoustic":[44],"vector":[45],"sequences,":[46],"using":[47,107,133],"spectral-based":[48],"features":[49,88,120],"MFCC":[52],"PLP,":[54],"local":[56,139],"distances":[57],"are":[58,99],"usually":[59],"based":[60],"on":[61],"Euclidean":[62],"or":[63],"Mahalanobis":[64],"distances.":[65],"present":[68],"paper,":[69],"we":[70,129],"further":[71,141],"investigate":[72],"ASR":[74],"show":[76,131],"(on":[77],"a":[78,108,126,138],"continuous":[79],"digit":[80],"task)":[82],"that":[83,98,132],"posterior-based":[87,155],"significantly":[89],"improves":[90,142],"standard":[92],"yielding":[95],"to":[96,102,160],"systems":[97,157],"very":[100,109],"competitive":[101],"state-of-the-art":[103,151],"HMMs,":[104],"even":[105],"when":[106],"limited":[110],"number":[111],"(e.g.,":[112],"10)":[113],"reference":[115],"templates.":[116],"Since":[117],"those":[118],"posteriors-based":[119],"can":[121],"also":[122,130],"be":[123],"interpreted":[124],"probability":[127],"distribution,":[128],"Kullback-Leibler":[134],"(KL)":[135],"divergence":[136],"distance":[140],"performance":[144],"approach,":[148],"now":[149],"beating":[150],"more":[153],"complex":[154],"HMMs":[156],"(usually":[158],"referred":[159],"\"Tandem\").":[162]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":5}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
