{"id":"https://openalex.org/W2769732779","doi":"https://doi.org/10.1109/tifs.2017.2774505","title":"Mobile Phone Clustering From Speech Recordings Using Deep Representation and Spectral Clustering","display_name":"Mobile Phone Clustering From Speech Recordings Using Deep Representation and Spectral Clustering","publication_year":2017,"publication_date":"2017-11-16","ids":{"openalex":"https://openalex.org/W2769732779","doi":"https://doi.org/10.1109/tifs.2017.2774505","mag":"2769732779"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2017.2774505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2017.2774505","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-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/A5070863631","display_name":"Yanxiong Li","orcid":"https://orcid.org/0000-0003-4362-1125"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxiong Li","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4362-1125","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100762539","display_name":"Zhang Xue","orcid":"https://orcid.org/0000-0003-1940-8535"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Zhang","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023348064","display_name":"Xianku Li","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianku Li","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385416","display_name":"Yuhan Zhang","orcid":"https://orcid.org/0000-0001-8579-4943"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Zhang","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001480103","display_name":"Jichen Yang","orcid":"https://orcid.org/0000-0002-4954-8398"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jichen Yang","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102706072","display_name":"Qianhua He","orcid":"https://orcid.org/0000-0002-9079-4566"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianhua He","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.8117,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.8257919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"13","issue":"4","first_page":"965","last_page":"977"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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":0.9987000226974487,"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":0.9950000047683716,"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":0.8490251302719116},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8133047819137573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6229408383369446},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5648069977760315},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5642096400260925},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5224505662918091},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5031370520591736},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.5027034282684326},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.4867270290851593},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4857831299304962},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.45857009291648865},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.4444974362850189},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.418127179145813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8490251302719116},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8133047819137573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6229408383369446},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5648069977760315},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5642096400260925},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5224505662918091},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5031370520591736},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.5027034282684326},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.4867270290851593},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4857831299304962},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.45857009291648865},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.4444974362850189},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.418127179145813},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"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/tifs.2017.2774505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2017.2774505","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G243040613","display_name":"\u975e\u73b0\u573a\u8bf4\u8bdd\u4eba\u8ba4\u8bc1\u8bed\u97f3\u771f\u5b9e\u6027\u68c0\u6d4b\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61571192","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3994375257","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u590d\u6742\u97f3\u9891\u8bf4\u8bdd\u4eba\u5206\u6790\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61771200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5974202737","display_name":null,"funder_award_id":"2015ZZ102","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6741340094","display_name":null,"funder_award_id":"6171101566","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W330298975","https://openalex.org/W1485656768","https://openalex.org/W1508938995","https://openalex.org/W1552230318","https://openalex.org/W1590855855","https://openalex.org/W1964876912","https://openalex.org/W1997698229","https://openalex.org/W2009659264","https://openalex.org/W2014457225","https://openalex.org/W2016419400","https://openalex.org/W2028780137","https://openalex.org/W2031245459","https://openalex.org/W2032958878","https://openalex.org/W2034181906","https://openalex.org/W2041127133","https://openalex.org/W2041823554","https://openalex.org/W2046686077","https://openalex.org/W2049304293","https://openalex.org/W2049993107","https://openalex.org/W2053913299","https://openalex.org/W2066104352","https://openalex.org/W2068805075","https://openalex.org/W2081074144","https://openalex.org/W2092599437","https://openalex.org/W2100495367","https://openalex.org/W2116064496","https://openalex.org/W2123237149","https://openalex.org/W2126337883","https://openalex.org/W2142233683","https://openalex.org/W2150593711","https://openalex.org/W2150689955","https://openalex.org/W2158698691","https://openalex.org/W2161752502","https://openalex.org/W2162125266","https://openalex.org/W2165874743","https://openalex.org/W2316458621","https://openalex.org/W2397549422","https://openalex.org/W2398841919","https://openalex.org/W2534143647","https://openalex.org/W2547467124","https://openalex.org/W2571520038","https://openalex.org/W2619786436","https://openalex.org/W2711078980","https://openalex.org/W4256161595","https://openalex.org/W4285719527","https://openalex.org/W6678292227","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2088854863","https://openalex.org/W2011227383","https://openalex.org/W1976719989","https://openalex.org/W2942893872","https://openalex.org/W2065606036","https://openalex.org/W3179495260","https://openalex.org/W3127543252","https://openalex.org/W2016904525"],"abstract_inverted_index":{"Considerable":[0],"attention":[1],"has":[2],"been":[3],"paid":[4],"to":[5,36,116],"acquisition":[6,24],"device":[7,25,44],"recognition":[8],"over":[9],"the":[10,14,38,42,54,100,109,121,131,134,139,142,170,179],"past":[11],"decade":[12],"in":[13,18,59,108],"forensic":[15],"community,":[16],"especially":[17],"digital":[19],"image":[20],"forensics.":[21],"In":[22,61],"contrast,":[23],"clustering":[26,71,86,113],"from":[27,72],"speech":[28,73],"recordings":[29,39,55,74,118],"is":[30,91,114,157,173],"a":[31,46,66,77,84,94,125],"new":[32,78,89,143,180],"problem":[33],"that":[34,169],"aims":[35],"merge":[37,117],"acquired":[40,119],"by":[41,75,93,105,120],"same":[43,122],"into":[45,124],"single":[47,126],"cluster":[48],"without":[49],"having":[50],"prior":[51],"information":[52],"about":[53],"and":[56,83,111,161,178],"training":[57],"classifiers":[58],"advance.":[60],"this":[62],"paper,":[63],"we":[64],"propose":[65],"method":[67,156,172],"for":[68,98],"mobile":[69],"phone":[70,107,123],"using":[76],"feature":[79,90,144,181],"of":[80,130,133,141],"deep":[81,95,135],"representation":[82],"spectral":[85,112],"algorithm.":[87],"The":[88,128,154,166],"learned":[92],"auto-encoder":[96,136],"network":[97,137],"representing":[99],"intrinsic":[101],"trace":[102],"left":[103],"behind":[104],"each":[106],"recordings,":[110],"used":[115],"cluster.":[127],"impacts":[129],"structures":[132],"on":[138],"performance":[140],"are":[145,149],"discussed.":[146],"Different":[147],"features":[148],"compared":[150,158],"with":[151,159],"one":[152],"another.":[153],"proposed":[155,171],"others":[160],"evaluated":[162],"under":[163,175],"special":[164],"conditions.":[165],"results":[167],"show":[168],"effective":[174],"these":[176],"conditions":[177],"outperforms":[182],"other":[183],"features.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
