{"id":"https://openalex.org/W4410772006","doi":"https://doi.org/10.1109/icasspw65056.2025.11011036","title":"Consensus-based Distributed Quantum Kernel Learning for Speech Recognition","display_name":"Consensus-based Distributed Quantum Kernel Learning for Speech Recognition","publication_year":2025,"publication_date":"2025-04-06","ids":{"openalex":"https://openalex.org/W4410772006","doi":"https://doi.org/10.1109/icasspw65056.2025.11011036"},"language":"en","primary_location":{"id":"doi:10.1109/icasspw65056.2025.11011036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icasspw65056.2025.11011036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5066668963","display_name":"Kuan\u2010Cheng Chen","orcid":"https://orcid.org/0000-0002-1815-1881"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kuan-Cheng Chen","raw_affiliation_strings":["Imperial College London,Department of Electrical and Electronic Engineering,London,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Electrical and Electronic Engineering,London,UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101614243","display_name":"Wenxuan Ma","orcid":"https://orcid.org/0000-0001-8975-042X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxuan Ma","raw_affiliation_strings":["Zhejiang University,College of Control Science and Engineering,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Control Science and Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057379751","display_name":"Xiaotian Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaotian Xu","raw_affiliation_strings":["Science and Technology (QuEST), Imperial College London,Centre for Quantum Engineering,London,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology (QuEST), Imperial College London,Centre for Quantum Engineering,London,UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8547999858856201,"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/T10320","display_name":"Neural Networks and Applications","score":0.8547999858856201,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.8468000292778015,"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":0.7192272543907166},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.49858903884887695},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.44790738821029663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3458402156829834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08655297756195068}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7192272543907166},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.49858903884887695},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.44790738821029663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3458402156829834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08655297756195068},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icasspw65056.2025.11011036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icasspw65056.2025.11011036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","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":32,"referenced_works":["https://openalex.org/W1529944915","https://openalex.org/W2030931454","https://openalex.org/W2103956991","https://openalex.org/W2792946961","https://openalex.org/W3023211159","https://openalex.org/W3081192838","https://openalex.org/W3096052452","https://openalex.org/W3111162498","https://openalex.org/W3139270985","https://openalex.org/W3156286751","https://openalex.org/W3207377511","https://openalex.org/W4361000408","https://openalex.org/W4372259985","https://openalex.org/W4385261005","https://openalex.org/W4388262769","https://openalex.org/W4389159469","https://openalex.org/W4390752773","https://openalex.org/W4392903627","https://openalex.org/W4392903848","https://openalex.org/W4400386264","https://openalex.org/W4400463031","https://openalex.org/W4401122678","https://openalex.org/W4401754227","https://openalex.org/W4402353783","https://openalex.org/W4406261788","https://openalex.org/W4406262085","https://openalex.org/W4406262150","https://openalex.org/W4406355331","https://openalex.org/W6785923976","https://openalex.org/W6786585944","https://openalex.org/W6858114010","https://openalex.org/W6866585339"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0,50],"paper":[1],"presents":[2],"a":[3],"Consensus-based":[4],"Distributed":[5],"Quantum":[6],"Kernel":[7],"Learning":[8],"(CDQKL)":[9],"framework":[10],"aimed":[11],"at":[12],"improving":[13],"speech":[14,75],"recognition":[15,77],"through":[16,47],"distributed":[17,98,130],"quantum":[18,31,42,93,131],"computing.":[19],"CDQKL":[20,81,101,126],"addresses":[21],"the":[22,53],"challenges":[23],"of":[24,55,100],"scalability":[25,87],"and":[26,67,86,91,107,120],"data":[27,65],"privacy":[28,66,105],"in":[29,104],"centralized":[30,90],"kernel":[32,94],"learning.":[33],"It":[34],"does":[35],"this":[36],"by":[37],"distributing":[38],"computational":[39,69,108],"tasks":[40],"across":[41],"terminals,":[43],"which":[44],"are":[45],"connected":[46],"classical":[48],"channels.":[49],"approach":[51],"enables":[52],"exchange":[54],"model":[56],"parameters":[57],"without":[58],"sharing":[59],"local":[60,92],"training":[61],"data,":[62],"thereby":[63],"maintaining":[64],"enhancing":[68],"efficiency.":[70],"Experimental":[71],"evaluations":[72],"on":[73],"benchmark":[74],"emotion":[76],"datasets":[78],"demonstrate":[79],"that":[80,125],"achieves":[82],"competitive":[83],"classification":[84],"accuracy":[85],"compared":[88],"to":[89],"learning":[95],"models.":[96],"The":[97,122],"nature":[99],"offers":[102],"advantages":[103],"preservation":[106],"efficiency,":[109],"making":[110],"it":[111],"suitable":[112],"for":[113,133],"data-sensitive":[114],"fields":[115],"such":[116],"as":[117],"telecommunications,":[118],"automotive,":[119],"finance.":[121],"findings":[123],"suggest":[124],"can":[127],"effectively":[128],"leverage":[129],"computing":[132],"large-scale":[134],"machine-learning":[135],"tasks.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}