{"id":"https://openalex.org/W2024671661","doi":"https://doi.org/10.1109/icdsp.2014.6900736","title":"Sparse coding based lip texture representation for visual speaker identification","display_name":"Sparse coding based lip texture representation for visual speaker identification","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2024671661","doi":"https://doi.org/10.1109/icdsp.2014.6900736","mag":"2024671661"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2014.6900736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2014.6900736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 19th International Conference on Digital Signal Processing","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/A5052260650","display_name":"Jun-Yao Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun-Yao Lai","raw_affiliation_strings":["School of EIEE, Shanghai Jiao Tong University, Shanghai, China","[School of EIEE, Shanghai Jiao Tong University, Shanghai, China]"],"affiliations":[{"raw_affiliation_string":"School of EIEE, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[School of EIEE, Shanghai Jiao Tong University, Shanghai, China]","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101717685","display_name":"Shilin Wang","orcid":"https://orcid.org/0000-0002-8214-6809"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi-Lin Wang","raw_affiliation_strings":["School of EIEE, Shanghai Jiao Tong University, Shanghai, China","[School of EIEE, Shanghai Jiao Tong University, Shanghai, China]"],"affiliations":[{"raw_affiliation_string":"School of EIEE, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[School of EIEE, Shanghai Jiao Tong University, Shanghai, China]","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091515481","display_name":"Xingjian Shi","orcid":"https://orcid.org/0000-0002-2700-7742"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing-Jian Shi","raw_affiliation_strings":["School of EIEE, Shanghai Jiao Tong University, Shanghai, China","[School of EIEE, Shanghai Jiao Tong University, Shanghai, China]"],"affiliations":[{"raw_affiliation_string":"School of EIEE, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[School of EIEE, Shanghai Jiao Tong University, Shanghai, China]","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091254555","display_name":"Alan Wee\u2010Chung Liew","orcid":"https://orcid.org/0000-0001-6718-7584"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alan Wee-Chung Liew","raw_affiliation_strings":["School of Info. and Comm. Technology, Griffith University, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"School of Info. and Comm. Technology, Griffith University, Brisbane, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052260650"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.2944,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55277413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"607","last_page":"610"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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/T11448","display_name":"Face recognition and analysis","score":0.9962999820709229,"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":0.9722999930381775,"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/computer-science","display_name":"Computer science","score":0.7286785244941711},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5910424590110779},{"id":"https://openalex.org/keywords/speaker-identification","display_name":"Speaker identification","score":0.5472403168678284},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5472187995910645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5442429184913635},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4930574595928192},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4560719132423401},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4345555007457733},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.43409040570259094},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4106948971748352},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.27039462327957153},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12740081548690796},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1045350432395935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7286785244941711},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5910424590110779},{"id":"https://openalex.org/C2986627078","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker identification","level":3,"score":0.5472403168678284},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5472187995910645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5442429184913635},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4930574595928192},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4560719132423401},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4345555007457733},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.43409040570259094},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4106948971748352},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.27039462327957153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12740081548690796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1045350432395935},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdsp.2014.6900736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2014.6900736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 19th International Conference on Digital Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/65346","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/65346","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"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 output"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5803793727","display_name":null,"funder_award_id":"61271319","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6258415954","display_name":null,"funder_award_id":"Chinese","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320326699","display_name":"Ministry of Public Security of the People's Republic of China","ror":"https://ror.org/00bt9we26"},{"id":"https://openalex.org/F4320336355","display_name":"Shanghai Institute of Technical Physics, Chinese Academy of Sciences","ror":"https://ror.org/02txedb84"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1566709181","https://openalex.org/W1597029646","https://openalex.org/W1969365714","https://openalex.org/W2097599237","https://openalex.org/W2109449312","https://openalex.org/W2113814270","https://openalex.org/W2117986023","https://openalex.org/W2128625909","https://openalex.org/W2141488077","https://openalex.org/W2143231843","https://openalex.org/W2144513380","https://openalex.org/W2160547390","https://openalex.org/W3147615780","https://openalex.org/W4246960037","https://openalex.org/W6642432831","https://openalex.org/W6674551621","https://openalex.org/W6676548200"],"related_works":["https://openalex.org/W2517638034","https://openalex.org/W4366725928","https://openalex.org/W4247725880","https://openalex.org/W2249138175","https://openalex.org/W2065031478","https://openalex.org/W2120097768","https://openalex.org/W2154141294","https://openalex.org/W2978471304","https://openalex.org/W2100854157","https://openalex.org/W2380891674"],"abstract_inverted_index":{"Recent":[0],"research":[1],"has":[2],"shown":[3],"that":[4,150],"the":[5,26,30,36,50,58,74,89,99,106,114,121,126,139,142,151,179],"speaker's":[6],"lip":[7,28,31,38,52,75,111,115,134,180],"shape":[8],"and":[9,15,22,62,79,120,167],"movement":[10],"contain":[11],"rich":[12],"identity-related":[13],"information":[14,60,117,182],"can":[16,157],"be":[17],"adopted":[18],"for":[19,102,109,128,164,169],"speaker":[20,83,130,140],"identification":[21,65,84,161],"authentication.":[23],"Among":[24],"all":[25,125],"static":[27],"features,":[29],"texture":[32,53,59,76,100,116,181],"(intensity":[33],"variation":[34],"inside":[35],"outer":[37],"contour)":[39],"is":[40,77,86,95,118,136],"of":[41,73],"high":[42],"discriminative":[43],"power":[44],"to":[45,138],"differentiate":[46],"various":[47],"speakers.":[48],"However,":[49],"existing":[51],"feature":[54],"representations":[55],"cannot":[56],"describe":[57],"adequately":[61],"provide":[63],"unsatisfactory":[64],"results.":[66],"In":[67,88,105],"this":[68],"paper,":[69],"a":[70,80,92],"sparse":[71,93,153],"representation":[72],"proposed":[78,152],"corresponding":[81],"visual":[82],"scheme":[85,156],"presented.":[87],"training":[90],"stage,":[91,108],"dictionary":[94],"built":[96],"based":[97,155],"on":[98],"samples":[101],"each":[103],"speaker.":[104],"testing":[107],"any":[110],"image":[112,135,166,170],"investigated,":[113],"extracted":[119],"reconstruction":[122,144],"errors":[123],"using":[124],"dictionaries":[127],"every":[129],"are":[131],"calculated.":[132],"The":[133,146],"identified":[137],"with":[141,173],"minimum":[143],"error.":[145],"experimental":[147],"results":[148],"show":[149],"coding":[154],"achieve":[158],"much":[159],"better":[160],"accuracy":[162],"(91.37%":[163],"isolate":[165],"98.21%":[168],"sequence)":[171],"compared":[172],"several":[174],"state-of-the-art":[175],"methods":[176],"when":[177],"considering":[178],"only.":[183]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}