{"id":"https://openalex.org/W2068805075","doi":"https://doi.org/10.1145/2361407.2361422","title":"Automatic telephone handset identification by sparse representation of random spectral features","display_name":"Automatic telephone handset identification by sparse representation of random spectral features","publication_year":2012,"publication_date":"2012-09-06","ids":{"openalex":"https://openalex.org/W2068805075","doi":"https://doi.org/10.1145/2361407.2361422","mag":"2068805075"},"language":"en","primary_location":{"id":"doi:10.1145/2361407.2361422","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2361407.2361422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the on Multimedia and security","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":["Aristotle University of Thessaloniki, Thessaloniki, Greece","Aristotle University of Thessaloniki Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"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":["Aristotle University of Thessaloniki, Thessaloniki, Greece","Aristotle University of Thessaloniki Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"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":0.93455901,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech 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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech 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/T12357","display_name":"Digital Media Forensic Detection","score":0.9977999925613403,"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":0.9894000291824341,"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/spectrogram","display_name":"Spectrogram","score":0.8552457094192505},{"id":"https://openalex.org/keywords/handset","display_name":"Handset","score":0.8020824193954468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7145743370056152},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5898695588111877},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5661935210227966},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49578937888145447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4919242858886719},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4609414339065552},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43241095542907715},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4302132725715637},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4149937927722931},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.35825568437576294},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11127880215644836}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.8552457094192505},{"id":"https://openalex.org/C2779971919","wikidata":"https://www.wikidata.org/wiki/Q1378949","display_name":"Handset","level":2,"score":0.8020824193954468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7145743370056152},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5898695588111877},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5661935210227966},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49578937888145447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4919242858886719},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4609414339065552},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43241095542907715},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4302132725715637},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4149937927722931},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.35825568437576294},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11127880215644836},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2361407.2361422","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2361407.2361422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the on Multimedia and security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"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/W3179495260","https://openalex.org/W1976719989","https://openalex.org/W3127543252","https://openalex.org/W2065606036","https://openalex.org/W2889302474"],"abstract_inverted_index":{"Speech":[0],"signals":[1],"convey":[2],"information":[3],"not":[4],"only":[5],"for":[6,15,53],"speakers'":[7],"identity":[8],"and":[9,73],"the":[10,16,34,41,70,77,96],"spoken":[11],"language,":[12],"but":[13],"also":[14],"acquisition":[17,29],"devices":[18],"used":[19],"during":[20],"their":[21],"recording.":[22],"Therefore,":[23],"it":[24],"is":[25],"reasonable":[26],"to":[27,95],"perform":[28],"device":[30,54,97],"identification":[31,100],"by":[32,64,75],"analyzing":[33],"recorded":[35],"speech":[36,62],"signal.":[37],"To":[38],"this":[39],"end,":[40],"random":[42,84],"spectral":[43],"features":[44],"(RSFs)":[45],"are":[46,58],"proposed":[47],"as":[48],"an":[49],"intrinsic":[50],"fingerprint":[51],"suitable":[52],"identification.":[55],"The":[56],"RSFs":[57],"extracted":[59],"from":[60,114],"each":[61],"signal":[63],"first":[65],"averaging":[66],"its":[67],"spectrogram":[68,80],"along":[69],"time":[71],"axis":[72],"then":[74],"projecting":[76],"resulting":[78],"mean":[79],"onto":[81],"a":[82,91,108],"Gaussian":[83],"matrix":[85],"of":[86,102,110],"compatible":[87],"dimensions.":[88],"By":[89],"applying":[90],"sparse-representation":[92],"based":[93],"classifier":[94],"RSFs,":[98],"state-of-the-art":[99],"accuracy":[101],"95.55%":[103],"has":[104],"been":[105],"obtained":[106],"on":[107],"set":[109],"8":[111],"telephone":[112],"handsets,":[113],"Lincoln-Labs":[115],"Handset":[116],"Database":[117],"(LLHDB).":[118]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
