{"id":"https://openalex.org/W32588098","doi":"https://doi.org/10.21437/eurospeech.2003-195","title":"Trajectory modeling based on HMMs with the explicit relationship between static and dynamic features","display_name":"Trajectory modeling based on HMMs with the explicit relationship between static and dynamic features","publication_year":2003,"publication_date":"2003-09-01","ids":{"openalex":"https://openalex.org/W32588098","doi":"https://doi.org/10.21437/eurospeech.2003-195","mag":"32588098"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2003-195","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","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/A5103023678","display_name":"Keiichi Tokuda","orcid":"https://orcid.org/0000-0001-6143-0133"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Keiichi Tokuda","raw_affiliation_strings":["Nagoya Inst. of Technol.#TAB#"],"affiliations":[{"raw_affiliation_string":"Nagoya Inst. of Technol.#TAB#","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003420204","display_name":"Heiga Zen","orcid":"https://orcid.org/0000-0002-8959-5471"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Heiga Zen","raw_affiliation_strings":["Nagoya Inst. of Technol.#TAB#"],"affiliations":[{"raw_affiliation_string":"Nagoya Inst. of Technol.#TAB#","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059137996","display_name":"Tadashi Kitamura","orcid":null},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadashi Kitamura","raw_affiliation_strings":["Nagoya Inst. of Technol.#TAB#"],"affiliations":[{"raw_affiliation_string":"Nagoya Inst. of Technol.#TAB#","institution_ids":["https://openalex.org/I197274945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103023678"],"corresponding_institution_ids":["https://openalex.org/I197274945"],"apc_list":null,"apc_paid":null,"fwci":7.0195,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.96714609,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"865","last_page":"868"},"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":0.9973000288009644,"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":0.9945999979972839,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.9419583082199097},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.8707622289657593},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8235901594161987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7417284250259399},{"id":"https://openalex.org/keywords/forward-algorithm","display_name":"Forward algorithm","score":0.5618330240249634},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5352340936660767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5258679389953613},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5241097211837769},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5231824517250061},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5109378695487976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4432377219200134},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3419730067253113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23123443126678467},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1902494728565216},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.15903672575950623},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08688157796859741},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.06707331538200378}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.9419583082199097},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.8707622289657593},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8235901594161987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7417284250259399},{"id":"https://openalex.org/C196455857","wikidata":"https://www.wikidata.org/wiki/Q5473264","display_name":"Forward algorithm","level":5,"score":0.5618330240249634},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5352340936660767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5258679389953613},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5241097211837769},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5231824517250061},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5109378695487976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4432377219200134},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3419730067253113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23123443126678467},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1902494728565216},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.15903672575950623},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08688157796859741},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.06707331538200378},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/eurospeech.2003-195","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.59.4505","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.4505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://kt-lab.ics.nitech.ac.jp/~tokuda/selected_pub/pdf/conference/tokuda_eurospeech2003.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W22889032","https://openalex.org/W80543058","https://openalex.org/W125097753","https://openalex.org/W1500026161","https://openalex.org/W1594223010","https://openalex.org/W1600722501","https://openalex.org/W1861150963","https://openalex.org/W1935012542","https://openalex.org/W2081309747","https://openalex.org/W2083393647","https://openalex.org/W2093450784","https://openalex.org/W2131690550","https://openalex.org/W2138530627","https://openalex.org/W2143203634","https://openalex.org/W2149073513","https://openalex.org/W2154920538","https://openalex.org/W2228674556","https://openalex.org/W2272308216","https://openalex.org/W2399150001","https://openalex.org/W2584852661","https://openalex.org/W2914008274"],"related_works":["https://openalex.org/W1975869217","https://openalex.org/W2116722627","https://openalex.org/W2136652457","https://openalex.org/W2379938888","https://openalex.org/W4312943493","https://openalex.org/W2849436992","https://openalex.org/W2383829109","https://openalex.org/W2401728283","https://openalex.org/W2408529216","https://openalex.org/W2386035178"],"abstract_inverted_index":{"This":[0],"paper":[1],"shows":[2],"that":[3,82],"the":[4,25,29,42,69,83,88,94,98,102],"HMM":[5,51,96],"whose":[6],"state":[7,52,58],"output":[8,59],"vector":[9],"includes":[10],"static":[11,30],"and":[12,31,53],"dynamic":[13,32],"feature":[14],"parameters":[15],"can":[16,40,86],"be":[17],"reformulated":[18],"as":[19,101],"a":[20,64],"trajectory":[21,38,70,95],"model":[22],"by":[23],"imposing":[24],"explicit":[26],"relationship":[27],"between":[28],"features.":[33],"The":[34],"derived":[35],"model,":[36],"named":[37],"HMM,":[39],"alleviate":[41],"limitations":[43],"of":[44,57],"HMMs:":[45],"i)":[46],"constant":[47],"statistics":[48],"within":[49],"an":[50],"ii)":[54],"independence":[55],"assumption":[56],"probabilities.":[60],"We":[61],"also":[62],"derive":[63],"Viterbi-type":[65],"training":[66,84],"algorithm":[67,85],"for":[68],"HMM.":[71,104],"A":[72],"preliminary":[73],"speech":[74],"recognition":[75,89],"experiment":[76],"based":[77],"on":[78],"N-best":[79],"rescoring":[80],"demonstrates":[81],"improve":[87],"performance":[90],"significantly":[91],"even":[92],"though":[93],"has":[97],"same":[99],"parameterization":[100],"standard":[103]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
