{"id":"https://openalex.org/W2534143647","doi":"https://doi.org/10.1109/wifs.2012.6412628","title":"Telephone handset identification by feature selection and sparse representations","display_name":"Telephone handset identification by feature selection and sparse representations","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2534143647","doi":"https://doi.org/10.1109/wifs.2012.6412628","mag":"2534143647"},"language":"en","primary_location":{"id":"doi:10.1109/wifs.2012.6412628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2012.6412628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Workshop on Information Forensics and Security (WIFS)","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/A5050734738","display_name":"Yannis Panagakis","orcid":"https://orcid.org/0000-0003-0153-5210"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Yannis Panagakis","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065184406","display_name":"Constantine Kotropoulos","orcid":"https://orcid.org/0000-0001-9939-7930"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Constantine Kotropoulos","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050734738"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":2.9382,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.93803034,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9987999796867371,"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":0.9965999722480774,"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/handset","display_name":"Handset","score":0.7998675107955933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7800643444061279},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.7259052395820618},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6202137470245361},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6153723001480103},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6035943627357483},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5685334801673889},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5567488670349121},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5401825308799744},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5071640014648438},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.49032238125801086},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44426408410072327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4238550662994385}],"concepts":[{"id":"https://openalex.org/C2779971919","wikidata":"https://www.wikidata.org/wiki/Q1378949","display_name":"Handset","level":2,"score":0.7998675107955933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7800643444061279},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.7259052395820618},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6202137470245361},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6153723001480103},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6035943627357483},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5685334801673889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5567488670349121},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5401825308799744},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5071640014648438},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.49032238125801086},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44426408410072327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4238550662994385},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wifs.2012.6412628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2012.6412628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2014457225","https://openalex.org/W2016419400","https://openalex.org/W2018988646","https://openalex.org/W2049993107","https://openalex.org/W2089497633","https://openalex.org/W2094810510","https://openalex.org/W2102473096","https://openalex.org/W2114147096","https://openalex.org/W2117734098","https://openalex.org/W2129131372","https://openalex.org/W2129812935","https://openalex.org/W2153635508","https://openalex.org/W2162125266","https://openalex.org/W2984516443"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W2361118838","https://openalex.org/W1976719989","https://openalex.org/W2942893872","https://openalex.org/W1976824589","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Speech":[0],"signals":[1],"convey":[2],"information":[3],"not":[4],"only":[5],"for":[6,16,59],"the":[7,11,17,35,42,48,65,77],"speakers'":[8],"identity":[9],"and":[10,47,64,72],"spoken":[12],"language,":[13],"but":[14],"also":[15],"acquisition":[18,30],"devices":[19],"used":[20],"during":[21],"their":[22],"recording.":[23],"Therefore,":[24],"it":[25],"is":[26],"reasonable":[27],"to":[28,76],"perform":[29],"device":[31,60],"identification":[32,86],"by":[33,69,93],"analyzing":[34],"recorded":[36],"speech":[37,82],"signal.":[38],"To":[39],"this":[40],"end,":[41],"random":[43],"spectral":[44,50],"features":[45,51],"(RSFs)":[46],"labeled":[49],"(LSFs)":[52],"are":[53,67],"proposed":[54],"as":[55],"intrinsic":[56],"fingerprints":[57],"suitable":[58],"identification.":[61],"The":[62],"RSFs":[63],"LSFs":[66,95],"extracted":[68],"applying":[70],"unsupervised":[71],"supervised":[73],"feature":[74],"selection":[75],"mean":[78],"spectrogram":[79],"of":[80,88,99],"each":[81],"signal,":[83],"respectively.":[84],"State-of-the-art":[85],"accuracy":[87],"97.58%":[89],"has":[90],"been":[91],"obtained":[92],"employing":[94],"on":[96],"a":[97],"set":[98],"8":[100],"telephone":[101],"handsets,":[102],"from":[103],"Lincoln-Labs":[104],"Handset":[105],"Database":[106],"(LLHDB).":[107]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
