{"id":"https://openalex.org/W2154909029","doi":"https://doi.org/10.1109/asru.2009.5373239","title":"A study on Hidden Structural Model and its application to labeling sequences","display_name":"A study on Hidden Structural Model and its application to labeling sequences","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2154909029","doi":"https://doi.org/10.1109/asru.2009.5373239","mag":"2154909029"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2009.5373239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2009.5373239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Automatic Speech Recognition & Understanding","raw_type":"proceedings-article"},"type":"article","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/A5100748135","display_name":"Yu Qiao","orcid":"https://orcid.org/0000-0002-1889-2567"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yu Qiao","raw_affiliation_strings":["Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028421346","display_name":"Masayuki Suzuki","orcid":"https://orcid.org/0000-0002-0436-1490"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Suzuki","raw_affiliation_strings":["Graduate School of Engineering, University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041213266","display_name":"Nobuaki Minematsu","orcid":"https://orcid.org/0000-0002-8778-9555"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuaki Minematsu","raw_affiliation_strings":["Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100748135"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":1.3085,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85230074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"39","issue":null,"first_page":"118","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.996399998664856,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9944000244140625,"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":0.6775413155555725},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6679043173789978},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.654281497001648},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6409164071083069},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6126675605773926},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5453490614891052},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5027780532836914},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.48443225026130676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47782328724861145},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.45333629846572876},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.41512203216552734},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3285149335861206},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3034108281135559}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6775413155555725},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6679043173789978},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.654281497001648},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6409164071083069},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6126675605773926},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5453490614891052},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5027780532836914},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.48443225026130676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47782328724861145},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.45333629846572876},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.41512203216552734},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3285149335861206},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3034108281135559},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru.2009.5373239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2009.5373239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Automatic Speech Recognition & Understanding","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W15693373","https://openalex.org/W64921504","https://openalex.org/W2049633694","https://openalex.org/W2111148778","https://openalex.org/W2114492809","https://openalex.org/W2115606020","https://openalex.org/W2121997342","https://openalex.org/W2142775654","https://openalex.org/W2168862296","https://openalex.org/W2169878657","https://openalex.org/W3127518054","https://openalex.org/W6676674313","https://openalex.org/W6677803786","https://openalex.org/W6684964546"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W2097963413","https://openalex.org/W3145575561","https://openalex.org/W2001275470","https://openalex.org/W2073996508","https://openalex.org/W1591475660","https://openalex.org/W2164162849"],"abstract_inverted_index":{"This":[0,79],"paper":[1,80],"proposes":[2],"hidden":[3,24],"structure":[4],"model":[5],"(HSM)":[6],"for":[7,68,94],"statistical":[8],"modeling":[9],"of":[10,42,44,71,88,97,105,114,133,158,168],"sequence":[11],"data.":[12],"The":[13,138,162],"HSM":[14,35,57,66,115,134,142],"generalizes":[15],"our":[16],"previous":[17,32],"proposal":[18],"on":[19,82,135,154],"structural":[20,33],"representation":[21],"by":[22,143],"introducing":[23],"states":[25],"and":[26,75,86,102,148],"probabilistic":[27],"models.":[28],"Compared":[29],"with":[30],"the":[31,40,69,83,95,111,131,149,166],"representation,":[34],"not":[36],"only":[37],"can":[38,48,116],"solve":[39],"problem":[41],"misalignment":[43],"events,":[45],"but":[46],"also":[47,91],"conduct":[49],"structure-based":[50],"decoding,":[51],"which":[52],"allows":[53],"us":[54],"to":[55,58,119,129],"apply":[56],"general":[59],"speech":[60],"recognition":[61],"tasks.":[62],"Different":[63],"from":[64],"HMM,":[65],"accounts":[67],"probability":[70,100],"both":[72],"locally":[73],"absolute":[74],"globally":[76],"contrastive":[77],"features.":[78],"focuses":[81],"fundamental":[84],"formulation":[85],"theories":[87],"HSM.":[89,106,169],"We":[90,124],"develop":[92],"methods":[93],"problems":[96],"state":[98,112],"inference,":[99],"calculation":[101],"parameter":[103],"estimation":[104],"Especially,":[107],"we":[108],"show":[109],"that":[110],"inference":[113],"be":[117],"reduced":[118],"a":[120,155],"quadratic":[121],"programming":[122],"problem.":[123],"carry":[125],"out":[126],"two":[127],"experiments":[128],"examine":[130],"performance":[132],"labeling":[136],"sequences.":[137],"first":[139],"experiment":[140,151],"tests":[141],"using":[144],"artificially":[145],"transformed":[146],"sequences,":[147],"second":[150],"is":[152],"based":[153],"Japanese":[156],"corpus":[157],"connected":[159],"vowel":[160],"utterances.":[161],"experimental":[163],"results":[164],"demonstrate":[165],"effectiveness":[167]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}