{"id":"https://openalex.org/W4213164919","doi":"https://doi.org/10.1145/3506651.3506660","title":"Comparison of Different Models of Voiceprint Recognition used in Automatic Door Lock System (August 2021)","display_name":"Comparison of Different Models of Voiceprint Recognition used in Automatic Door Lock System (August 2021)","publication_year":2021,"publication_date":"2021-11-12","ids":{"openalex":"https://openalex.org/W4213164919","doi":"https://doi.org/10.1145/3506651.3506660"},"language":"en","primary_location":{"id":"doi:10.1145/3506651.3506660","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3506651.3506660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Digital Medicine and Image 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/A5107933120","display_name":"Jiawei Liu","orcid":"https://orcid.org/0000-0002-6100-4000"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiawei Liu","raw_affiliation_strings":["Southern University of Science and Technology(Sustech), China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology(Sustech), China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040558691","display_name":"Chenyang Jin","orcid":"https://orcid.org/0009-0002-5892-9958"},"institutions":[{"id":"https://openalex.org/I3132425485","display_name":"Shanghai American School","ror":"https://ror.org/03xzda142","country_code":"CN","type":"education","lineage":["https://openalex.org/I3132425485"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Jin","raw_affiliation_strings":["Shanghai YKPao School, China"],"affiliations":[{"raw_affiliation_string":"Shanghai YKPao School, China","institution_ids":["https://openalex.org/I3132425485"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084222453","display_name":"Jingxi Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingxi Liang","raw_affiliation_strings":["RDF International school,Shenzhen Guangdong, China"],"affiliations":[{"raw_affiliation_string":"RDF International school,Shenzhen Guangdong, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102527929","display_name":"Luoqi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145183","display_name":"Shenzhen Baoan High School Group","ror":"https://ror.org/03fxa2376","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luoqi Wang","raw_affiliation_strings":["Shenzhen Middle School, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Middle School, China","institution_ids":["https://openalex.org/I4210145183"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107933120"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21099237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9995999932289124,"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":0.9995999932289124,"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/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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/T11309","display_name":"Music and Audio Processing","score":0.9983000159263611,"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":0.7786843776702881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6216822266578674},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5971757173538208},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5906097292900085},{"id":"https://openalex.org/keywords/lock","display_name":"Lock (firearm)","score":0.5074631571769714},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4925904870033264},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47408878803253174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47362276911735535},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4560203552246094},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4440363943576813},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.41774556040763855},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4046687185764313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40276575088500977},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10777467489242554},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09001684188842773}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7786843776702881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6216822266578674},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5971757173538208},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5906097292900085},{"id":"https://openalex.org/C174839445","wikidata":"https://www.wikidata.org/wiki/Q1134386","display_name":"Lock (firearm)","level":2,"score":0.5074631571769714},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4925904870033264},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47408878803253174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47362276911735535},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4560203552246094},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4440363943576813},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.41774556040763855},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4046687185764313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40276575088500977},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10777467489242554},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09001684188842773},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3506651.3506660","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3506651.3506660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Digital Medicine and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1565144712","https://openalex.org/W1599687861","https://openalex.org/W2088575391","https://openalex.org/W2121750345","https://openalex.org/W2559983013","https://openalex.org/W2813524944"],"related_works":["https://openalex.org/W2363983170","https://openalex.org/W4375867731","https://openalex.org/W2270181498","https://openalex.org/W2376330853","https://openalex.org/W2142815029","https://openalex.org/W3000197790","https://openalex.org/W2924917467","https://openalex.org/W2948668635","https://openalex.org/W4285322112","https://openalex.org/W4292794239"],"abstract_inverted_index":{"For":[0],"any":[1],"system,":[2],"its":[3],"reliability":[4],"and":[5,37,52,62,74,178],"the":[6,24,42,60,63,90,96,114,120,146,150,158],"cost":[7,61],"of":[8,16,26,44,103,130,160,173],"construction":[9],"have":[10],"always":[11],"been":[12],"two":[13,45,81,91,132],"major":[14],"determinants":[15],"whether":[17,53],"it":[18,54,110,163],"can":[19],"be":[20],"used":[21],"daily.":[22],"In":[23],"field":[25],"voiceprint":[27],"recognition,":[28],"people":[29],"are":[30,77,176],"often":[31],"forced":[32],"to":[33,57,79,107,144,152],"choose":[34],"between":[35,59,89],"accuracy":[36,137,155],"convenience.":[38],"This":[39],"paper":[40],"discusses":[41],"performance":[43,167],"speaker":[46,85],"verification":[47],"models":[48],"in":[49,84,100],"different":[50],"environment":[51],"is":[55,99,181],"possible":[56],"balance":[58],"result.":[64],"The":[65],"Gaussian":[66],"Mixture":[67],"Model":[68],"with":[69,119],"universal":[70],"background":[71],"model":[72,116],"(GMM-UBM)":[73],"deep-learning":[75,97],"method":[76,98],"selected":[78],"represent":[80],"common":[82],"approaches":[83],"verification.":[86],"Through":[87],"comparison":[88],"models,":[92,162],"we":[93],"find":[94],"that":[95,165],"greater":[101],"need":[102],"large":[104,141,171],"training":[105,174],"datasets":[106],"function":[108],"since":[109],"performs":[111],"poorer":[112],"than":[113],"GMM-UBM":[115],"while":[117,128],"trained":[118],"same":[121],"dataset":[122,143],"containing":[123],"only":[124,168],"a":[125,140],"few":[126],"samples,":[127],"both":[129,161],"these":[131],"methods":[133],"reach":[134],"nearly":[135],"100%":[136],"if":[138],"provided":[139],"enough":[142],"train":[145],"model.":[147],"Meanwhile,":[148],"despite":[149],"attempt":[151],"yield":[153],"higher":[154],"by":[156],"configuring":[157],"setting":[159],"appears":[164],"excellent":[166],"occurs":[169],"when":[170],"amounts":[172],"data":[175],"given,":[177],"little":[179],"noise":[180],"present.":[182]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}