{"id":"https://openalex.org/W4289830003","doi":"https://doi.org/10.1109/spcom55316.2022.9840515","title":"Significance of Distance Measures for Speaker Anonymization","display_name":"Significance of Distance Measures for Speaker Anonymization","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4289830003","doi":"https://doi.org/10.1109/spcom55316.2022.9840515"},"language":"en","primary_location":{"id":"doi:10.1109/spcom55316.2022.9840515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom55316.2022.9840515","pdf_url":null,"source":{"id":"https://openalex.org/S4363608579","display_name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","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/A5016641266","display_name":"Gauri P. Prajapati","orcid":"https://orcid.org/0000-0002-6153-9259"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani Institute of Information and Communication Technology","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Gauri P. Prajapati","raw_affiliation_strings":["Speech Research Lab, DAIICT,Gandhinagar","Speech Research Lab, DAIICT, Gandhinagar"],"affiliations":[{"raw_affiliation_string":"Speech Research Lab, DAIICT,Gandhinagar","institution_ids":["https://openalex.org/I98389781"]},{"raw_affiliation_string":"Speech Research Lab, DAIICT, Gandhinagar","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006494479","display_name":"Dipesh K. Singh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dipesh K. Singh","raw_affiliation_strings":["Scribetech Healthcare Pvt. Ltd.,Mumbai,India","Scribetech Healthcare Pvt. Ltd., Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Scribetech Healthcare Pvt. Ltd.,Mumbai,India","institution_ids":[]},{"raw_affiliation_string":"Scribetech Healthcare Pvt. Ltd., Mumbai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043002276","display_name":"Hemant A. Patil","orcid":"https://orcid.org/0000-0002-4068-2005"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani Institute of Information and Communication Technology","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hemant A. Patil","raw_affiliation_strings":["Speech Research Lab, DAIICT,Gandhinagar","Speech Research Lab, DAIICT, Gandhinagar"],"affiliations":[{"raw_affiliation_string":"Speech Research Lab, DAIICT,Gandhinagar","institution_ids":["https://openalex.org/I98389781"]},{"raw_affiliation_string":"Speech Research Lab, DAIICT, Gandhinagar","institution_ids":["https://openalex.org/I98389781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016641266"],"corresponding_institution_ids":["https://openalex.org/I98389781"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06916613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9952999949455261,"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":0.9952999949455261,"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/T11309","display_name":"Music and Audio Processing","score":0.9876999855041504,"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":0.9843999743461609,"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":0.7245904207229614},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4077534079551697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7245904207229614},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4077534079551697}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spcom55316.2022.9840515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom55316.2022.9840515","pdf_url":null,"source":{"id":"https://openalex.org/S4363608579","display_name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W602971198","https://openalex.org/W1494198834","https://openalex.org/W1501500081","https://openalex.org/W1540596182","https://openalex.org/W1589137271","https://openalex.org/W1939688770","https://openalex.org/W1966994709","https://openalex.org/W1989337816","https://openalex.org/W1992419399","https://openalex.org/W2054804336","https://openalex.org/W2098549407","https://openalex.org/W2104779640","https://openalex.org/W2105535594","https://openalex.org/W2117331546","https://openalex.org/W2118393783","https://openalex.org/W2134383396","https://openalex.org/W2151626637","https://openalex.org/W2153233077","https://openalex.org/W2161160262","https://openalex.org/W2165232124","https://openalex.org/W2299467264","https://openalex.org/W2319660501","https://openalex.org/W2752929869","https://openalex.org/W2753324760","https://openalex.org/W2805858128","https://openalex.org/W2898564584","https://openalex.org/W2938226623","https://openalex.org/W2954217241","https://openalex.org/W2972848589","https://openalex.org/W2998572311","https://openalex.org/W2999729612","https://openalex.org/W3005862564","https://openalex.org/W3024768724","https://openalex.org/W3204616723","https://openalex.org/W4250042253","https://openalex.org/W6632267817","https://openalex.org/W6640622211","https://openalex.org/W6676034603","https://openalex.org/W6677884823","https://openalex.org/W6678914141","https://openalex.org/W6767759097","https://openalex.org/W6772349387","https://openalex.org/W6776763299","https://openalex.org/W6802797615"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Privacy":[0],"preservation":[1,103],"methods":[2],"for":[3,59,100,120,135,153],"voice":[4,14,32,101],"data":[5],"are":[6,150],"evolving":[7],"day":[8],"by":[9],"day.":[10],"A":[11],"recent":[12],"state-of-the-art":[13],"privacy":[15,102],"algorithm":[16,46],"uses":[17,40],"an":[18,41,75,105],"x-vector":[19],"and":[20,98,123,138,145,161],"neural":[21],"source-filter":[22],"(NSF)-":[23],"based":[24],"anonymization":[25,107,154],"approach":[26,110],"that":[27,70,143],"converts":[28],"the":[29,82],"original":[30,121],"input":[31],"into":[33],"a":[34,49,54,112],"pseudo":[35,50],"speaker\u2019s":[36,51],"voice.":[37],"The":[38],"method":[39],"affinity":[42],"propagation":[43],"clustering":[44,61],"(APC)":[45],"to":[47,65,80],"choose":[48],"x-vector.":[52],"Finding":[53],"set":[55],"of":[56,84],"distance":[57,86,149],"measures":[58],"this":[60,73],"technique":[62],"is":[63,133],"important":[64],"get":[66],"optimal":[67],"anonymization.":[68],"To":[69],"effect,":[71],"in":[72,116,131],"paper,":[74],"attempt":[76],"has":[77],"been":[78],"made":[79],"investigate":[81],"effect":[83],"six":[85],"measures,":[87],"namely,":[88],"Euclidean,":[89],"cosine,":[90],"probabilistic":[91],"linear":[92],"discriminant":[93],"analysis":[94],"(PLDA),":[95],"correlation,":[96],"Manhattan,":[97],"Mahalanobis":[99,144],"using":[104],"x-vector-based":[106],"system.":[108],"This":[109],"gave":[111],"4.75%":[113],"relative":[114,129],"improvement":[115,130],"Equal":[117],"Error":[118],"Rate(EER)":[119],"enrolls":[122,137],"anonymized":[124,136],"trials.":[125,139],"In":[126],"addition,":[127],"11.49%":[128],"EER":[132],"observed":[134],"Experimental":[140],"results":[141],"show":[142],"Pearson":[146],"correlation":[147],"coefficient-based":[148],"better":[151,158],"choices":[152],"tasks.":[155],"It":[156],"provides":[157],"speaker":[159],"de-identification":[160],"good":[162],"speech":[163],"intelligibility":[164],"without":[165],"increasing":[166],"system":[167],"complexity.":[168]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
