{"id":"https://openalex.org/W2891874376","doi":"https://doi.org/10.1109/icip.2018.8451204","title":"3D Convolutional Neural Networks Based Speaker Identification and Authentication","display_name":"3D Convolutional Neural Networks Based Speaker Identification and Authentication","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2891874376","doi":"https://doi.org/10.1109/icip.2018.8451204","mag":"2891874376"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5090669679","display_name":"Jianguo Liao","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":"Jianguo Liao","raw_affiliation_strings":["School of Electric Information and Electronic Engineering, Shanghai Jiaotong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electric Information and Electronic Engineering, Shanghai Jiaotong 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":"Shilin Wang","raw_affiliation_strings":["School of Electric Information and Electronic Engineering, Shanghai Jiaotong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electric Information and Electronic Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054452505","display_name":"Xingxuan Zhang","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":false,"raw_author_name":"Xingxuan Zhang","raw_affiliation_strings":["School of Electric Information and Electronic Engineering, Shanghai Jiaotong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electric Information and Electronic Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085695760","display_name":"Gongshen Liu","orcid":"https://orcid.org/0000-0001-5194-1570"},"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":"Gongshen Liu","raw_affiliation_strings":["School of Electric Information and Electronic Engineering, Shanghai Jiaotong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electric Information and Electronic Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090669679"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.8257,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73685606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"2042","last_page":"2046"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9851999878883362,"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/T11309","display_name":"Music and Audio Processing","score":0.9728000164031982,"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":0.833777129650116},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7161160707473755},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6789059638977051},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6700865030288696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6636391282081604},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6625546813011169},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5464847683906555},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5107705593109131},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5058228969573975},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46846622228622437},{"id":"https://openalex.org/keywords/minutiae","display_name":"Minutiae","score":0.44354888796806335},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43293696641921997},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.10756176710128784}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.833777129650116},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7161160707473755},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6789059638977051},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6700865030288696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6636391282081604},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6625546813011169},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5464847683906555},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5107705593109131},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5058228969573975},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46846622228622437},{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.44354888796806335},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43293696641921997},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.10756176710128784},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1482977908","https://openalex.org/W1527240141","https://openalex.org/W1566709181","https://openalex.org/W1664547674","https://openalex.org/W1969365714","https://openalex.org/W2003178620","https://openalex.org/W2050298965","https://openalex.org/W2053365209","https://openalex.org/W2088283570","https://openalex.org/W2097599237","https://openalex.org/W2113814270","https://openalex.org/W2135847672","https://openalex.org/W2138190382","https://openalex.org/W2143231843","https://openalex.org/W2159807321","https://openalex.org/W2272013280","https://openalex.org/W2340743774","https://openalex.org/W2508015696","https://openalex.org/W2509549781","https://openalex.org/W2726515241","https://openalex.org/W2962851944","https://openalex.org/W6631618440","https://openalex.org/W6637357238","https://openalex.org/W6642432831","https://openalex.org/W6685133223"],"related_works":["https://openalex.org/W2389331403","https://openalex.org/W2151980775","https://openalex.org/W1570615827","https://openalex.org/W2352456833","https://openalex.org/W2051063947","https://openalex.org/W2394192690","https://openalex.org/W2273831739","https://openalex.org/W2068753100","https://openalex.org/W2014007110","https://openalex.org/W3104966193"],"abstract_inverted_index":{"Research":[0],"shows":[1],"that":[2],"human":[3],"lips":[4],"can":[5],"be":[6],"used":[7],"as":[8],"a":[9,22,55,87,102],"new":[10],"kind":[11],"of":[12,57,72,89,115,123],"biometrics":[13],"in":[14,95],"personal":[15],"identification":[16,113],"and":[17,76,107,117,135,145],"authentication.":[18],"In":[19,45],"this":[20],"letter,":[21],"novel":[23],"end-to-end":[24],"method":[25,110],"based":[26],"on":[27,101],"3D":[28],"convolutional":[29],"neural":[30],"network":[31,65],"(3DCNN)":[32],"is":[33,51,66,84],"proposed":[34,67,109],"to":[35,68,92],"extract":[36],"discriminative":[37],"spatiotemporal":[38],"features":[39],"from":[40],"raw":[41],"lip":[42,49,74,82],"video":[43,50,83],"streams.":[44],"our":[46,130],"approach,":[47],"the":[48,63,70,73,80,108],"first":[52],"divided":[53],"into":[54],"series":[56],"overlapping":[58],"clips.":[59],"For":[60],"each":[61,93],"clip,":[62],"lip-characteristics":[64],"characterize":[69],"minutiae":[71],"region":[75],"its":[77],"movement.":[78],"Finally,":[79],"entire":[81],"represented":[85],"by":[86,141],"set":[88],"sub-features":[90],"corresponding":[91],"clip":[94],"it.":[96],"Experiments":[97],"have":[98],"been":[99],"performed":[100],"dataset":[103],"with":[104,126],"200":[105],"speakers":[106],"achieves":[111,132],"high":[112],"accuracy":[114],"99.18%":[116],"very":[118],"low":[119],"authentication":[120],"error":[121],"(HTER":[122],"0.15%).":[124],"Compared":[125],"several":[127],"state-of-the-art":[128],"methods,":[129],"approach":[131],"better":[133],"performance":[134],"higher":[136],"robustness":[137],"against":[138],"variations":[139],"caused":[140],"different":[142],"speaker's":[143],"pose":[144],"position.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}