{"id":"https://openalex.org/W7864212","doi":null,"title":"Linear Gaussian Models for Speech Recognition","display_name":"Linear Gaussian Models for Speech Recognition","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W7864212","mag":"7864212"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.10.5097","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.5097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://homepage.ntlworld.com/antti-veikko.rosti/papers/rosti_phdthesis.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5078587033","display_name":"Antti-Veikko I. Rosti","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Antti-Veikko Rosti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5078587033"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5821,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92789248,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9990000128746033,"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":0.9990000128746033,"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":0.000699999975040555,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-gaussian-models","display_name":"linear Gaussian models","score":0.9430000185966492},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"speech recognition","score":0.8880000114440918},{"id":"https://openalex.org/keywords/acoustic-modeling","display_name":"acoustic modeling","score":0.7879999876022339},{"id":"https://openalex.org/keywords/hidden-markov-models","display_name":"hidden Markov models","score":0.9940000176429749},{"id":"https://openalex.org/keywords/state-space-models","display_name":"state-space model","score":0.9459999799728394},{"id":"https://openalex.org/keywords/conditional-independence-assumption","display_name":"conditional independence assumption","score":0.8399999737739563},{"id":"https://openalex.org/keywords/gaussian-mixture-model","display_name":"Gaussian mixture model","score":0.5}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7967557907104492},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5335932970046997},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5041509866714478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4943697452545166},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4866107702255249},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4628910422325134},{"id":"https://openalex.org/C2777798563","wikidata":"https://www.wikidata.org/wiki/Q7603916","display_name":"State vector","level":2,"score":0.44860178232192993},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.43789368867874146},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4308387339115143},{"id":"https://openalex.org/C64939953","wikidata":"https://www.wikidata.org/wiki/Q3859882","display_name":"Hidden semi-Markov model","level":5,"score":0.42813464999198914},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42749008536338806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4273883104324341},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4062706530094147},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39901188015937805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.359445184469223},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.3548089265823364},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.30444300174713135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2035599946975708},{"id":"https://openalex.org/C189973286","wikidata":"https://www.wikidata.org/wiki/Q176695","display_name":"Markov property","level":4,"score":0.18222534656524658},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14226901531219482},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.10.5097","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.5097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://homepage.ntlworld.com/antti-veikko.rosti/papers/rosti_phdthesis.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.119.6818","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.119.6818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mi.eng.cam.ac.uk/~mjfg/thesis_avir2.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.64.7713","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.64.7713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mi.eng.cam.ac.uk/reports/svr-ftp/rosti_thesis.pdf","raw_type":"text"},{"id":"mag:7864212","doi":null,"is_oa":false,"landing_page_url":"http://mi.eng.cam.ac.uk/reports/svr-ftp/rosti_thesis.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":128,"referenced_works":["https://openalex.org/W27187656","https://openalex.org/W31925794","https://openalex.org/W59130454","https://openalex.org/W70088150","https://openalex.org/W77631327","https://openalex.org/W90806947","https://openalex.org/W125614575","https://openalex.org/W136679770","https://openalex.org/W167557053","https://openalex.org/W169377849","https://openalex.org/W175821084","https://openalex.org/W198801378","https://openalex.org/W230535489","https://openalex.org/W284676832","https://openalex.org/W605575788","https://openalex.org/W1483307070","https://openalex.org/W1486632395","https://openalex.org/W1487312592","https://openalex.org/W1489119587","https://openalex.org/W1493163583","https://openalex.org/W1509905243","https://openalex.org/W1515272691","https://openalex.org/W1516111018","https://openalex.org/W1528056001","https://openalex.org/W1541680420","https://openalex.org/W1549321558","https://openalex.org/W1554663460","https://openalex.org/W1555787882","https://openalex.org/W1561506132","https://openalex.org/W1575388622","https://openalex.org/W1578739277","https://openalex.org/W1603639024","https://openalex.org/W1604345445","https://openalex.org/W1615201606","https://openalex.org/W1618600317","https://openalex.org/W1626341607","https://openalex.org/W1643320849","https://openalex.org/W1646998587","https://openalex.org/W1662191912","https://openalex.org/W1877570817","https://openalex.org/W1932968309","https://openalex.org/W1934021597","https://openalex.org/W1975953721","https://openalex.org/W1980800561","https://openalex.org/W1985093013","https://openalex.org/W1990005915","https://openalex.org/W1991133427","https://openalex.org/W1998362482","https://openalex.org/W2002342963","https://openalex.org/W2003123121","https://openalex.org/W2007321142","https://openalex.org/W2012992565","https://openalex.org/W2013891788","https://openalex.org/W2046584898","https://openalex.org/W2048511921","https://openalex.org/W2049633694","https://openalex.org/W2063796511","https://openalex.org/W2072634211","https://openalex.org/W2076818396","https://openalex.org/W2083393647","https://openalex.org/W2083402998","https://openalex.org/W2086699924","https://openalex.org/W2090861223","https://openalex.org/W2094227853","https://openalex.org/W2095717911","https://openalex.org/W2097355209","https://openalex.org/W2099838536","https://openalex.org/W2100969003","https://openalex.org/W2101802380","https://openalex.org/W2101950184","https://openalex.org/W2102716594","https://openalex.org/W2103139809","https://openalex.org/W2104163628","https://openalex.org/W2105934661","https://openalex.org/W2106119541","https://openalex.org/W2106554350","https://openalex.org/W2107617395","https://openalex.org/W2108341012","https://openalex.org/W2110575115","https://openalex.org/W2110935301","https://openalex.org/W2112440119","https://openalex.org/W2114140497","https://openalex.org/W2115979064","https://openalex.org/W2118825896","https://openalex.org/W2121448470","https://openalex.org/W2123073649","https://openalex.org/W2123876776","https://openalex.org/W2124629003","https://openalex.org/W2125107595","https://openalex.org/W2125838338","https://openalex.org/W2125956490","https://openalex.org/W2126415164","https://openalex.org/W2126736494","https://openalex.org/W2130086010","https://openalex.org/W2133701314","https://openalex.org/W2134237567","https://openalex.org/W2135095882","https://openalex.org/W2135194391","https://openalex.org/W2137944862","https://openalex.org/W2137969290","https://openalex.org/W2141840273","https://openalex.org/W2142286502","https://openalex.org/W2146871184","https://openalex.org/W2148154194","https://openalex.org/W2148812765","https://openalex.org/W2149361029","https://openalex.org/W2150907703","https://openalex.org/W2151526992","https://openalex.org/W2154261668","https://openalex.org/W2154423186","https://openalex.org/W2157083645","https://openalex.org/W2158069733","https://openalex.org/W2158289097","https://openalex.org/W2159283619","https://openalex.org/W2160955451","https://openalex.org/W2161406034","https://openalex.org/W2163572287","https://openalex.org/W2163680580","https://openalex.org/W2165958697","https://openalex.org/W2166637769","https://openalex.org/W2270719270","https://openalex.org/W2384542382","https://openalex.org/W2411442511","https://openalex.org/W2483982199","https://openalex.org/W2913411996","https://openalex.org/W3082371797","https://openalex.org/W3102754772","https://openalex.org/W3103090156"],"related_works":["https://openalex.org/W1981706894","https://openalex.org/W2369520313","https://openalex.org/W2140337865","https://openalex.org/W1990063583","https://openalex.org/W2151323943","https://openalex.org/W2261455370","https://openalex.org/W1805340023","https://openalex.org/W7097171740","https://openalex.org/W1565137605","https://openalex.org/W2468476985"],"abstract_inverted_index":{"Currently":[0],"the":[1,10,34,44],"most":[2],"popular":[3],"acoustic":[4],"model":[5,13],"for":[6,55],"speech":[7,38,56],"recognition":[8],"is":[9,50],"hidden":[11],"Markov":[12],"(HMM).":[14],"However,":[15],"HMMs":[16],"are":[17,27,40,74],"based":[18,75],"on":[19,76],"a":[20,52,77,86],"series":[21],"of":[22,25,68],"assumptions":[23],"some":[24,66],"which":[26],"known":[28],"to":[29,64,85],"be":[30,62],"poor.":[31],"In":[32],"particular,":[33],"assumption":[35,54],"that":[36,47],"successive":[37],"frames":[39],"conditionally":[41],"independent":[42],"given":[43],"discrete":[45],"state":[46,79,87],"generated":[48],"them":[49],"not":[51],"good":[53],"recognition.":[57],"State":[58,71],"space":[59,72],"models":[60,73],"may":[61],"used":[63],"address":[65],"shortcomings":[67],"this":[69],"assumption.":[70],"continuous":[78],"vector":[80],"evolving":[81],"through":[82],"time":[83],"according":[84],"evo-":[88]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
