{"id":"https://openalex.org/W104457985","doi":"https://doi.org/10.21437/eurospeech.1999-339x","title":"Dynamic HMM selection for continuous speech recognition","display_name":"Dynamic HMM selection for continuous speech recognition","publication_year":1999,"publication_date":"1999-09-05","ids":{"openalex":"https://openalex.org/W104457985","doi":"https://doi.org/10.21437/eurospeech.1999-339x","mag":"104457985"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.1999-339x","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1999-339x","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th European Conference on Speech Communication and Technology","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/A5030528300","display_name":"Thomas Hain","orcid":"https://orcid.org/0000-0003-0939-3464"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Hain","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002191410","display_name":"Philip C. Woodland","orcid":"https://orcid.org/0000-0001-9069-0225"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. C. Woodland","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1327","last_page":"1330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9783999919891357,"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":0.9783999919891357,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9387000203132629,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9222000241279602,"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":0.7717519998550415},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7336009740829468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7215217351913452},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5915663242340088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38827279210090637},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34585121273994446}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7717519998550415},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7336009740829468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7215217351913452},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5915663242340088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38827279210090637},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34585121273994446}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/eurospeech.1999-339x","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1999-339x","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th European Conference on Speech Communication and Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.28.5799","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.5799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://svr-www.eng.cam.ac.uk/reports/svr-ftp/hain_eurospeech99.ps.gz","raw_type":"text"},{"id":"pmh:oai:generic.eprints.org:329816","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/329816/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2136763963","https://openalex.org/W2109705048","https://openalex.org/W2940588515","https://openalex.org/W1909151225","https://openalex.org/W1987783679","https://openalex.org/W2160030256","https://openalex.org/W1521297879","https://openalex.org/W4253235840","https://openalex.org/W3151937861","https://openalex.org/W2033914206"],"abstract_inverted_index":{"In":[0,129],"this":[1,78],"paper":[2],"we":[3],"propose":[4],"a":[5,34,47,51,63,75,83,122,142],"dynamic":[6],"model":[7,13,31,42,57,72,79],"selection":[8],"technique":[9],"based":[10],"on":[11,90,114,121],"hidden":[12,108],"sequences":[14],"(HMS).":[15],"HMS":[16],"modelling":[17],"assumes,":[18],"that":[19,71,77],"not":[20],"only":[21],"the":[22,30,67,91,115,147],"actual":[23],"state":[24],"sequence":[25,32],"is":[26,58,80,152],"unknown,":[27],"but":[28],"also":[29,118],"given":[33],"particular":[35,48,84],"sentence.":[36],"This":[37],"allows":[38],"more":[39,124],"than":[40,62],"one":[41],"to":[43],"be":[44,139],"used":[45],"for":[46],"phone":[49,85],"in":[50,82,98],"certain":[52],"context.":[53,88],"The":[54],"most":[55],"appropriate":[56],"determined":[59],"locally":[60],"rather":[61],"priori":[64],"globally":[65],"by":[66],"acoustic":[68],"probability":[69,76],"of":[70,149],"together":[73],"with":[74,141],"produced":[81],"(or":[86],"model)":[87],"Experiments":[89],"Resource":[92],"Management":[93],"corpus":[94,117],"show":[95,119],"significant":[96],"improvements":[97,120],"word":[99],"error":[100],"rate":[101],"over":[102],"phonetically":[103],"model--":[104],"and":[105],"state--tied":[106],"triphone":[107],"Markov":[109,144],"models":[110],"(HMMs).":[111],"Initial":[112],"results":[113],"Switchboard":[116],"much":[123],"difficult":[125],"task.":[126],"1.":[127],"INTRODUCTION":[128],"HMM-based":[130],"continuous":[131],"speech":[132],"recognition":[133],"ideally":[134],"each":[135],"possible":[136,150],"sentence":[137],"would":[138],"modelled":[140],"separate":[143],"model.":[145],"Since":[146],"set":[148],"sentences":[151],"far":[153],"too":[154],"larg...":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}