{"id":"https://openalex.org/W1991702344","doi":"https://doi.org/10.1109/his.2013.6920468","title":"Kernel-based Persian viseme clustering","display_name":"Kernel-based Persian viseme clustering","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1991702344","doi":"https://doi.org/10.1109/his.2013.6920468","mag":"1991702344"},"language":"en","primary_location":{"id":"doi:10.1109/his.2013.6920468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2013.6920468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th International Conference on Hybrid Intelligent Systems (HIS 2013)","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/A5065991691","display_name":"Mohammad Mahdi Dehshibi","orcid":"https://orcid.org/0000-0001-8112-5419"},"institutions":[{"id":"https://openalex.org/I155419210","display_name":"Islamic Azad University, Science and Research Branch","ror":"https://ror.org/03187yj51","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I155419210"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Mahdi Dehshibi","raw_affiliation_strings":["Department of Computer Engineering I.A.U, Science and Research Branch, Tehran, Iran","Department of Computer Engineering, I.A.U, Science and Research Branch, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering I.A.U, Science and Research Branch, Tehran, Iran","institution_ids":["https://openalex.org/I155419210"]},{"raw_affiliation_string":"Department of Computer Engineering, I.A.U, Science and Research Branch, Tehran, Iran","institution_ids":["https://openalex.org/I155419210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108510014","display_name":"Meysam Alavi","orcid":null},"institutions":[{"id":"https://openalex.org/I11750234","display_name":"University of Science and Culture","ror":"https://ror.org/048e0p659","country_code":"IR","type":"education","lineage":["https://openalex.org/I11750234"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Meysam Alavi","raw_affiliation_strings":["Computer Engineering Department, University of Science & Culture, Hamedan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, University of Science & Culture, Hamedan, Iran","institution_ids":["https://openalex.org/I11750234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005047569","display_name":"Jamshid Shanbehzadeh","orcid":"https://orcid.org/0000-0002-1056-1499"},"institutions":[{"id":"https://openalex.org/I181744264","display_name":"Kharazmi University","ror":"https://ror.org/05hsgex59","country_code":"IR","type":"education","lineage":["https://openalex.org/I181744264"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Jamshid Shanbehzadeh","raw_affiliation_strings":["Department of Computer Engineering, Kharazmi University, Tehran, Iran","Department of Computer engineering, Kharazmi University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Kharazmi University, Tehran, Iran","institution_ids":["https://openalex.org/I181744264"]},{"raw_affiliation_string":"Department of Computer engineering, Kharazmi University, Tehran, Iran","institution_ids":["https://openalex.org/I181744264"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06905312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"129","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9983999729156494,"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/T10057","display_name":"Face and Expression Recognition","score":0.9954000115394592,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9848999977111816,"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/viseme","display_name":"Viseme","score":0.8161718249320984},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7246450185775757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6645845174789429},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5280937552452087},{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.5118569731712341},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49852585792541504},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4283786416053772},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3944544792175293},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35916000604629517},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.22398865222930908}],"concepts":[{"id":"https://openalex.org/C33767174","wikidata":"https://www.wikidata.org/wiki/Q371190","display_name":"Viseme","level":4,"score":0.8161718249320984},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7246450185775757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6645845174789429},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5280937552452087},{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.5118569731712341},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49852585792541504},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4283786416053772},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3944544792175293},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35916000604629517},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.22398865222930908},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C504749915","wikidata":"https://www.wikidata.org/wiki/Q9010971","display_name":"Speech technology","level":3,"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":1,"locations":[{"id":"doi:10.1109/his.2013.6920468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2013.6920468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th International Conference on Hybrid Intelligent Systems (HIS 2013)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W69118165","https://openalex.org/W1487143492","https://openalex.org/W1574171128","https://openalex.org/W1875379468","https://openalex.org/W1967461346","https://openalex.org/W2045867535","https://openalex.org/W2071096833","https://openalex.org/W2085307132","https://openalex.org/W2099257899","https://openalex.org/W2132243016","https://openalex.org/W2140095548","https://openalex.org/W2149034627","https://openalex.org/W2160668052","https://openalex.org/W2400566389","https://openalex.org/W4294242511","https://openalex.org/W6712739443"],"related_works":["https://openalex.org/W1974357398","https://openalex.org/W2796042130","https://openalex.org/W3200375535","https://openalex.org/W4253235840","https://openalex.org/W2116497041","https://openalex.org/W2591964346","https://openalex.org/W131634123","https://openalex.org/W2757496505","https://openalex.org/W1560013842","https://openalex.org/W1530111162"],"abstract_inverted_index":{"Viseme":[0],"(Visual":[1],"Phoneme)":[2],"clustering":[3,39,72,164],"and":[4,27,40],"analysis":[5,81],"in":[6,74,153],"every":[7],"language":[8,44,76],"is":[9,125],"among":[10],"the":[11,36,117,128,138,141,160,163,169,181],"most":[12],"important":[13],"preliminaries":[14],"for":[15,71,130],"conducting":[16],"various":[17],"multimedia":[18],"researches":[19],"as":[20,120,127],"talking":[21],"head,":[22],"lip":[23,25],"reading,":[24],"synchronization":[26],"computer":[28],"assisted":[29],"pronunciation":[30],"training":[31],"applications.":[32],"With":[33],"respect":[34],"to":[35,106,136],"fact":[37],"that":[38,167],"analyzing":[41],"visemes":[42,73],"are":[43],"dependent":[45],"processes,":[46],"we":[47,66,97],"concentrated":[48],"our":[49],"research":[50],"on":[51,78,110,150],"Persian":[52,75,151],"language,":[53],"which":[54,154],"indeed":[55],"has":[56],"suffered":[57],"from":[58],"lack":[59],"of":[60,82,94,116,123,140,146,162,168,180],"such":[61],"study.":[62],"In":[63,134],"this":[64],"paper,":[65],"used":[67],"a":[68,83,121,144,177],"hierarchical":[69],"approach":[70],"based":[77],"principal":[79],"component":[80],"polynomial":[84],"kernel":[85],"matrix":[86],"considering":[87],"coarticulation":[88],"effect.":[89],"Having":[90],"obtained":[91],"feature":[92],"vector":[93],"each":[95,107],"phoneme,":[96],"applied":[98],"unweighted":[99],"pair":[100],"group":[101],"method":[102],"with":[103,166],"arithmetic":[104],"mean":[105],"projected":[108],"viseme":[109,132],"constructed":[111],"manifold.":[112],"Then":[113],"furthest":[114],"neighbor":[115],"weight":[118],"value":[119],"result":[122],"reconstruction":[124],"set":[126,145],"criterion":[129],"comparing":[131],"dissimilarity.":[133],"order":[135],"indicate":[137],"robustness":[139],"proposed":[142,182],"algorithm,":[143],"experiments":[147],"was":[148],"conducted":[149],"databases":[152],"two":[155],"syllables":[156],"were":[157],"examined.":[158],"Comparing":[159],"results":[161],"algorithm":[165],"perceptual":[170],"test":[171],"given":[172],"by":[173],"an":[174],"expert":[175],"proves":[176],"reasonable":[178],"evaluation":[179],"algorithm.":[183]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}