{"id":"https://openalex.org/W4411464984","doi":"https://doi.org/10.1145/3703412.3703415","title":"TinySV: Speaker Verification in TinyML with On-device Learning","display_name":"TinySV: Speaker Verification in TinyML with On-device Learning","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4411464984","doi":"https://doi.org/10.1145/3703412.3703415"},"language":"en","primary_location":{"id":"doi:10.1145/3703412.3703415","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3703412.3703415","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on AI-ML Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3703412.3703415","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045681032","display_name":"Massimo Pavan","orcid":"https://orcid.org/0000-0002-5964-5685"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Pavan","raw_affiliation_strings":["DEIB, Politecnico di Milano, Milan, IT"],"raw_orcid":"https://orcid.org/0000-0002-5964-5685","affiliations":[{"raw_affiliation_string":"DEIB, Politecnico di Milano, Milan, IT","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099055222","display_name":"Gioele Mombelli","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gioele Mombelli","raw_affiliation_strings":["DEIB, Politecnico di Milano, Milan, IT"],"raw_orcid":"https://orcid.org/0009-0005-0344-3741","affiliations":[{"raw_affiliation_string":"DEIB, Politecnico di Milano, Milan, IT","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099055223","display_name":"Francesco Sinacori","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105601","display_name":"Infineon Technologies (United Kingdom)","ror":"https://ror.org/017ptvx95","country_code":"GB","type":"company","lineage":["https://openalex.org/I137594350","https://openalex.org/I4210105601"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Francesco Sinacori","raw_affiliation_strings":["Infineon Technologies Italia s.r.l, Milan, IT"],"raw_orcid":"https://orcid.org/0009-0007-4592-0416","affiliations":[{"raw_affiliation_string":"Infineon Technologies Italia s.r.l, Milan, IT","institution_ids":["https://openalex.org/I4210105601"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035547226","display_name":"Manuel Roveri","orcid":"https://orcid.org/0000-0001-7828-7687"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Manuel Roveri","raw_affiliation_strings":["DEIB, Politecnico di Milano, Milan, IT"],"raw_orcid":"https://orcid.org/0000-0001-7828-7687","affiliations":[{"raw_affiliation_string":"DEIB, Politecnico di Milano, Milan, IT","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1021,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90137123,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9980000257492065,"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/T11309","display_name":"Music and Audio Processing","score":0.9980000257492065,"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":0.7427976131439209},{"id":"https://openalex.org/keywords/speaker-verification","display_name":"Speaker verification","score":0.7083771228790283},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4182443618774414},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37725114822387695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35716867446899414},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.3148253858089447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7427976131439209},{"id":"https://openalex.org/C2982762665","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker verification","level":3,"score":0.7083771228790283},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4182443618774414},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37725114822387695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35716867446899414},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.3148253858089447}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3703412.3703415","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3703412.3703415","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on AI-ML Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1286917","is_oa":true,"landing_page_url":"https://hdl.handle.net/11311/1286917","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1145/3703412.3703415","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3703412.3703415","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on AI-ML Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1996512145","https://openalex.org/W2046056978","https://openalex.org/W2114925438","https://openalex.org/W2150769028","https://openalex.org/W2402195372","https://openalex.org/W2407023693","https://openalex.org/W2609848772","https://openalex.org/W2798371872","https://openalex.org/W2897392914","https://openalex.org/W2910017039","https://openalex.org/W2962788625","https://openalex.org/W3015503328","https://openalex.org/W3067862503","https://openalex.org/W3096106062","https://openalex.org/W3136561740","https://openalex.org/W3199421948","https://openalex.org/W3205667954","https://openalex.org/W3215249344","https://openalex.org/W3216221236","https://openalex.org/W4224914415","https://openalex.org/W4295789112","https://openalex.org/W4312975782","https://openalex.org/W4321372735","https://openalex.org/W4381054159","https://openalex.org/W4385822415","https://openalex.org/W4388820649"],"related_works":["https://openalex.org/W1491159402","https://openalex.org/W66821593","https://openalex.org/W4297807400","https://openalex.org/W2249138175","https://openalex.org/W1521299571","https://openalex.org/W4313854686","https://openalex.org/W3162054169","https://openalex.org/W1813780412","https://openalex.org/W1516392727","https://openalex.org/W2140022733"],"abstract_inverted_index":{"TinyML":[0,50,63,93,131,138,158],"is":[1,85],"a":[2,88,137,155,180],"novel":[3],"area":[4,39],"of":[5,45,49,62,82,91,130,174],"machine":[6,23],"learning":[7,24,61,78,117,132,139],"that":[8,95,109],"gained":[9],"huge":[10],"momentum":[11],"in":[12,37,67,99],"the":[13,19,42,46,68,72,77,103,125,170,175,185,189],"last":[14],"few":[15,57,143],"years":[16],"thanks":[17],"to":[18,21,71,86,111],"ability":[20],"execute":[22],"algorithms":[25],"on":[26,41,52,154,179],"tiny":[27,53],"devices":[28],"(such":[29],"as":[30,102],"Internet-of-Things":[31],"or":[32],"embedded":[33],"systems).":[34],"Interestingly,":[35],"research":[36],"this":[38,83,120],"focused":[40],"efficient":[43],"execution":[44],"inference":[47],"phase":[48],"models":[51,64],"devices,":[54],"while":[55],"very":[56],"solutions":[58],"for":[59,184],"on-device":[60,116],"are":[65],"available":[66],"literature":[69],"due":[70],"relevant":[73],"overhead":[74],"introduced":[75],"by":[76],"algorithms.":[79],"The":[80,149],"aim":[81],"paper":[84],"introduce":[87],"new":[89],"type":[90],"adaptive":[92],"solution":[94,152,159,178],"can":[96],"be":[97,112],"used":[98],"tasks,":[100],"such":[101],"presented":[104],"Tiny":[105],"Speaker":[106,165],"Verification":[107,166],"(TinySV),":[108],"require":[110],"tackled":[113],"with":[114,142],"an":[115],"algorithm.":[118],"Achieving":[119],"goal":[121],"required":[122],"(i)":[123],"reducing":[124],"memory":[126],"and":[127,134,144,163,172,187],"computational":[128],"demand":[129],"algorithms,":[133],"(ii)":[135],"designing":[136],"algorithm":[140],"operating":[141],"possibly":[145],"unlabelled":[146],"training":[147],"data.":[148],"proposed":[150,176],"TinySV":[151,177],"relies":[153],"two-layer":[156],"hierarchical":[157],"comprising":[160],"Keyword":[161],"Spotting":[162],"Adaptive":[164],"module.":[167],"We":[168],"evaluated":[169],"effectiveness":[171],"efficiency":[173],"dataset":[181],"collected":[182],"expressly":[183],"task":[186],"tested":[188],"propose":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
