{"id":"https://openalex.org/W2543733415","doi":"https://doi.org/10.1109/acssc.2011.6190066","title":"Automatic phoneme recognition with Segmental Hidden Markov Models","display_name":"Automatic phoneme recognition with Segmental Hidden Markov Models","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2543733415","doi":"https://doi.org/10.1109/acssc.2011.6190066","mag":"2543733415"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2011.6190066","is_oa":true,"landing_page_url":"https://doi.org/10.1109/acssc.2011.6190066","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/5aa50bf4-3e3f-42d7-891a-45dee7b81060/download","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://vtechworks.lib.vt.edu/bitstreams/5aa50bf4-3e3f-42d7-891a-45dee7b81060/download","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058744330","display_name":"Areg G. Baghdasaryan","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Areg G. Baghdasaryan","raw_affiliation_strings":["The Bradley Department of Electrical and Computer Engineering, DSP Research Laboratory and Wireless, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Bradley Department of Electrical and Computer Engineering, DSP Research Laboratory and Wireless, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108536322","display_name":"A.A. Beex","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. A. Beex","raw_affiliation_strings":["The Bradley Department of Electrical and Computer Engineering, DSP Research Laboratory and Wireless, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Bradley Department of Electrical and Computer Engineering, DSP Research Laboratory and Wireless, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":1.0734,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7874334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"28","issue":null,"first_page":"569","last_page":"574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":1.0,"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":1.0,"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/T11309","display_name":"Music and Audio Processing","score":0.9990000128746033,"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/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"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":0.9417011141777039},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.811259925365448},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.8062653541564941},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7222387790679932},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6112151741981506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5880061388015747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5520418882369995},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4927563965320587},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4449472427368164},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4416669011116028}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.9417011141777039},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.811259925365448},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.8062653541564941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7222387790679932},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6112151741981506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5880061388015747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5520418882369995},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4927563965320587},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4449472427368164},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4416669011116028},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acssc.2011.6190066","is_oa":true,"landing_page_url":"https://doi.org/10.1109/acssc.2011.6190066","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/5aa50bf4-3e3f-42d7-891a-45dee7b81060/download","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)","raw_type":"proceedings-article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/31182","is_oa":false,"landing_page_url":"http://scholar.lib.vt.edu/theses/available/etd-02082010-174617/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":{"id":"doi:10.1109/acssc.2011.6190066","is_oa":true,"landing_page_url":"https://doi.org/10.1109/acssc.2011.6190066","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/5aa50bf4-3e3f-42d7-891a-45dee7b81060/download","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2543733415.pdf","grobid_xml":"https://content.openalex.org/works/W2543733415.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W9022867","https://openalex.org/W68437168","https://openalex.org/W186915233","https://openalex.org/W1811733947","https://openalex.org/W1890492112","https://openalex.org/W1964090925","https://openalex.org/W2014647161","https://openalex.org/W2026144026","https://openalex.org/W2044223162","https://openalex.org/W2077804127","https://openalex.org/W2083393647","https://openalex.org/W2111551391","https://openalex.org/W2117366282","https://openalex.org/W2129244720","https://openalex.org/W2137532280","https://openalex.org/W2148260680","https://openalex.org/W2163829421","https://openalex.org/W2251338880","https://openalex.org/W2491674086","https://openalex.org/W2584852661","https://openalex.org/W2593543754","https://openalex.org/W2980286501","https://openalex.org/W4285719527","https://openalex.org/W6641296488"],"related_works":["https://openalex.org/W2136652457","https://openalex.org/W2169849734","https://openalex.org/W2116722627","https://openalex.org/W2129150969","https://openalex.org/W2236912844","https://openalex.org/W1975869217","https://openalex.org/W2401728283","https://openalex.org/W2383829109","https://openalex.org/W1974738623","https://openalex.org/W2379938888"],"abstract_inverted_index":{"A":[0,59],"new":[1],"technique":[2],"is":[3,66],"presented":[4],"for":[5,13,29,68,120],"the":[6,53,62,70,107,118],"joint":[7],"recognition":[8,19,40,132],"and":[9,20,34],"segmentation":[10,21,33],"task":[11],"formulated":[12],"a":[14,25,90,95,112],"speaker":[15],"independent":[16],"continuous":[17,130],"phoneme":[18,31,39,43,49,131],"system.":[22],"We":[23],"investigate":[24],"strictly":[26],"probabilistic":[27],"approach":[28,116],"simultaneous":[30],"sequence":[32,73],"recognition.":[35],"The":[36,84],"implemented":[37],"automatic":[38],"system":[41],"integrates":[42],"length":[44],"statistics":[45,51],"as":[46,48,77,79],"well":[47,78],"transition":[50],"into":[52],"Segmental":[54,85,108,124],"Hidden":[55,98],"Markov":[56,99],"Model":[57,100],"(SHMM).":[58],"variation":[60],"of":[61,74,123],"Viterbi":[63],"Search":[64],"algorithm":[65],"employed":[67],"estimating":[69],"most":[71],"likely":[72],"phonetic":[75,91,104],"symbols":[76],"their":[80],"corresponding":[81],"segment":[82],"boundaries.":[83],"HMM":[86,109,125],"topology":[87],"essentially":[88],"models":[89],"symbol":[92,105],"string":[93],"with":[94,102,111],"double":[96],"layer":[97],"(HMM),":[101],"each":[103],"in":[106],"modeled":[110],"left-to-right":[113],"HMM.":[114],"Our":[115],"lays":[117],"groundwork":[119],"further":[121],"expansion":[122],"design":[126],"to":[127],"context":[128],"dependent":[129],"systems.":[133]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-08-19T15:00:24.278416","created_date":"2025-10-10T00:00:00"}