{"id":"https://openalex.org/W2583947886","doi":"https://doi.org/10.1109/glocom.2016.7841816","title":"Enhancing Speaker Recognition with Multiple Observations over Mobile Networks","display_name":"Enhancing Speaker Recognition with Multiple Observations over Mobile Networks","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2583947886","doi":"https://doi.org/10.1109/glocom.2016.7841816","mag":"2583947886"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2016.7841816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7841816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Communications Conference (GLOBECOM)","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/A5055392194","display_name":"Igor Bisio","orcid":"https://orcid.org/0000-0003-3198-7306"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Igor Bisio","raw_affiliation_strings":["DITEN Department, University of Genoa, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"DITEN Department, University of Genoa, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045825361","display_name":"Chiara Garibotto","orcid":"https://orcid.org/0000-0002-6107-2484"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Garibotto","raw_affiliation_strings":["DITEN Department, University of Genoa, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"DITEN Department, University of Genoa, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069126784","display_name":"Fabio Lavagetto","orcid":"https://orcid.org/0000-0003-3692-4021"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Lavagetto","raw_affiliation_strings":["DITEN Department, University of Genoa, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"DITEN Department, University of Genoa, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046303512","display_name":"Andrea Sciarrone","orcid":"https://orcid.org/0000-0001-7023-2710"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Sciarrone","raw_affiliation_strings":["DITEN Department, University of Genoa, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"DITEN Department, University of Genoa, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055392194"],"corresponding_institution_ids":["https://openalex.org/I83816512"],"apc_list":null,"apc_paid":null,"fwci":0.2547,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58131772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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":0.9993000030517578,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9984999895095825,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8275353312492371},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.808412492275238},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6537804007530212},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4977739155292511},{"id":"https://openalex.org/keywords/mobile-telephony","display_name":"Mobile telephony","score":0.4775156080722809},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4434187114238739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3661108911037445},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.339699923992157},{"id":"https://openalex.org/keywords/mobile-radio","display_name":"Mobile radio","score":0.28910449147224426},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19876962900161743},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07173481583595276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8275353312492371},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.808412492275238},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6537804007530212},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4977739155292511},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.4775156080722809},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4434187114238739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3661108911037445},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.339699923992157},{"id":"https://openalex.org/C2781307350","wikidata":"https://www.wikidata.org/wiki/Q6887221","display_name":"Mobile radio","level":2,"score":0.28910449147224426},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19876962900161743},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07173481583595276}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/glocom.2016.7841816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7841816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/870144","is_oa":false,"landing_page_url":"http://hdl.handle.net/11567/870144","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"mag:2742468479","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/201702272471674500","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1532302922","https://openalex.org/W1969154245","https://openalex.org/W1978450727","https://openalex.org/W2006895119","https://openalex.org/W2022944266","https://openalex.org/W2059372649","https://openalex.org/W2078169166","https://openalex.org/W2090861223","https://openalex.org/W2103651164","https://openalex.org/W2127898131","https://openalex.org/W2133990480","https://openalex.org/W2153635508","https://openalex.org/W2157104853","https://openalex.org/W2159793651","https://openalex.org/W2162158162","https://openalex.org/W2165880886","https://openalex.org/W2546152028","https://openalex.org/W3145289772","https://openalex.org/W6631784514","https://openalex.org/W6683328324","https://openalex.org/W6729369061"],"related_works":["https://openalex.org/W1491159402","https://openalex.org/W4297807400","https://openalex.org/W4313854686","https://openalex.org/W2249138175","https://openalex.org/W3162054169","https://openalex.org/W1813780412","https://openalex.org/W289407349","https://openalex.org/W2368768466","https://openalex.org/W2757081366","https://openalex.org/W3197877226"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,9,13,69],"widespread":[2],"use":[3],"of":[4,15,71],"Mobile":[5],"Devices":[6],"(MDs)":[7],"open":[8],"door":[10],"to":[11,18,66],"exploit":[12],"presence":[14],"multiple":[16,52],"nodes":[17],"accomplish":[19],"collaborative":[20],"tasks.":[21],"In":[22],"this":[23],"paper,":[24],"a":[25,33,72],"speaker":[26],"recognition":[27],"system":[28],"for":[29],"MDs":[30],"based":[31],"on":[32],"multiple-observations":[34,62],"approach":[35,63],"is":[36,64],"presented.":[37],"We":[38],"propose":[39],"different":[40],"fusion":[41],"and":[42],"clustering":[43],"algorithms":[44],"aimed":[45],"at":[46],"efficiently":[47],"exploiting":[48],"signals":[49],"coming":[50],"from":[51],"sensors.":[53],"Numerical":[54],"results":[55],"show":[56],"that":[57],"in":[58],"most":[59],"cases":[60],"our":[61],"able":[65],"significantly":[67],"improve":[68],"performance":[70],"single-":[73],"receiver":[74],"approach.":[75]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}