{"id":"https://openalex.org/W3093788374","doi":"https://doi.org/10.1109/icassp39728.2021.9413453","title":"Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition","display_name":"Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3093788374","doi":"https://doi.org/10.1109/icassp39728.2021.9413453","mag":"3093788374"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2010.13309.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020376803","display_name":"Chao-Han Huck Yang","orcid":"https://orcid.org/0000-0003-2879-8811"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao-Han Huck Yang","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, USA","Georgia Institute of Technology School of Electrical and Computer Engineering USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology School of Electrical and Computer Engineering USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042520842","display_name":"Jun Qi","orcid":"https://orcid.org/0000-0001-7533-2630"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Qi","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, USA","Georgia Institute of Technology School of Electrical and Computer Engineering USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology School of Electrical and Computer Engineering USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021414038","display_name":"Samuel Yen-Chi Chen","orcid":"https://orcid.org/0000-0003-0114-4826"},"institutions":[{"id":"https://openalex.org/I200870766","display_name":"Brookhaven National Laboratory","ror":"https://ror.org/02ex6cf31","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I200870766","https://openalex.org/I39565521","https://openalex.org/I4210142672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Yen-Chi Chen","raw_affiliation_strings":["Brookhaven National Laboratory, NY, USA","Brookhaven National Laboratory,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brookhaven National Laboratory, NY, USA","institution_ids":["https://openalex.org/I200870766"]},{"raw_affiliation_string":"Brookhaven National Laboratory,NY,USA","institution_ids":["https://openalex.org/I200870766"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050344371","display_name":"Pin\u2010Yu Chen","orcid":"https://orcid.org/0000-0003-1039-8369"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pin-Yu Chen","raw_affiliation_strings":["IBM Research, Yorktown Heights, NY, USA","IBM Research , Yorktown Heights, NY , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM Research , Yorktown Heights, NY , USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079659476","display_name":"Sabato Marco Siniscalchi","orcid":"https://orcid.org/0000-0002-0770-0507"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I246010334","display_name":"Universit\u00e0 degli Studi di Enna Kore","ror":"https://ror.org/04vd28p53","country_code":"IT","type":"education","lineage":["https://openalex.org/I246010334"]},{"id":"https://openalex.org/I4210165875","display_name":"NTNU Samfunnsforskning","ror":"https://ror.org/05pv30e80","country_code":"NO","type":"facility","lineage":["https://openalex.org/I4210165875"]}],"countries":["IT","NO","US"],"is_corresponding":false,"raw_author_name":"Sabato Marco Siniscalchi","raw_affiliation_strings":["Faculty of Computer and Telecommunication Engineering, University of Enna, Italy","NTNU, Trondheim, Norway","School of Electrical and Computer Engineering, Georgia Institute of Technology, USA","Georgia Institute of Technology School of Electrical and Computer Engineering USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Telecommunication Engineering, University of Enna, Italy","institution_ids":["https://openalex.org/I246010334"]},{"raw_affiliation_string":"NTNU, Trondheim, Norway","institution_ids":["https://openalex.org/I4210165875"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology School of Electrical and Computer Engineering USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001706958","display_name":"Xiaoli Ma","orcid":"https://orcid.org/0000-0002-3076-2589"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoli Ma","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, USA","Georgia Institute of Technology School of Electrical and Computer Engineering USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology School of Electrical and Computer Engineering USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066868860","display_name":"Chin\u2010Hui Lee","orcid":"https://orcid.org/0000-0002-1892-2551"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chin-Hui Lee","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, USA","Georgia Institute of Technology School of Electrical and Computer Engineering USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology School of Electrical and Computer Engineering USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6523","last_page":"6527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9993000030517578,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9993000030517578,"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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10382","display_name":"Quantum and electron transport phenomena","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7904218435287476},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7089067697525024},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6853591203689575},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.6845011115074158},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6728747487068176},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.599126935005188},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5337359309196472},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4388478994369507},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42820513248443604},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.4189276695251465},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41845762729644775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4032955765724182},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2952670454978943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7904218435287476},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7089067697525024},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6853591203689575},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.6845011115074158},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6728747487068176},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.599126935005188},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5337359309196472},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4388478994369507},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42820513248443604},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.4189276695251465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41845762729644775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4032955765724182},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2952670454978943},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"mag:3093788374","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2010.13309.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:iris.unipa.it:10447/636633","is_oa":true,"landing_page_url":"https://hdl.handle.net/10447/636633","pdf_url":null,"source":{"id":"https://openalex.org/S4306401065","display_name":"Nova Science Publishers (Nova Science Publishers, Inc.)","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":"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/bookPart"},{"id":"pmh:oai:osti.gov:1829276","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1829276","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"doi:10.48550/arxiv.2010.13309","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2010.13309","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.17023/fb3q-sr65","is_oa":true,"landing_page_url":"https://doi.org/10.17023/fb3q-sr65","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Audiovisual"}],"best_oa_location":{"id":"mag:3093788374","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2010.13309.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.75,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1541150254","https://openalex.org/W1555759181","https://openalex.org/W1599755547","https://openalex.org/W2064675550","https://openalex.org/W2091432990","https://openalex.org/W2127141656","https://openalex.org/W2160083149","https://openalex.org/W2295107390","https://openalex.org/W2559394418","https://openalex.org/W2593019179","https://openalex.org/W2744999500","https://openalex.org/W2769912137","https://openalex.org/W2781738013","https://openalex.org/W2790388700","https://openalex.org/W2797583228","https://openalex.org/W2798434869","https://openalex.org/W2888641632","https://openalex.org/W2896422817","https://openalex.org/W2901859177","https://openalex.org/W2912213068","https://openalex.org/W2963403868","https://openalex.org/W2972320704","https://openalex.org/W2980154417","https://openalex.org/W2980446414","https://openalex.org/W2985986882","https://openalex.org/W3004373732","https://openalex.org/W3007475506","https://openalex.org/W3014522660","https://openalex.org/W3045093737","https://openalex.org/W3081997829","https://openalex.org/W3101122608","https://openalex.org/W3107588252","https://openalex.org/W3215460652","https://openalex.org/W6630499640","https://openalex.org/W6683357420","https://openalex.org/W6739901393","https://openalex.org/W6746451879","https://openalex.org/W6750665317","https://openalex.org/W6755964158","https://openalex.org/W6782215969","https://openalex.org/W6782603782","https://openalex.org/W6802729046"],"related_works":["https://openalex.org/W3161932608","https://openalex.org/W2902293851","https://openalex.org/W2785820430","https://openalex.org/W2783561121","https://openalex.org/W3109018774","https://openalex.org/W2775123266","https://openalex.org/W3204087964","https://openalex.org/W3130930828","https://openalex.org/W2974827766","https://openalex.org/W2155127926","https://openalex.org/W3036073916","https://openalex.org/W3010474325","https://openalex.org/W2940064443","https://openalex.org/W3159337302","https://openalex.org/W3000235499","https://openalex.org/W2964352056","https://openalex.org/W1559135799","https://openalex.org/W3120811316","https://openalex.org/W2793950911","https://openalex.org/W3203218195"],"abstract_inverted_index":{"We":[0,156,194],"propose":[1],"a":[2,22,30,38,54,64,79,133,139,179],"novel":[3],"decentralized":[4,55,103,140],"feature":[5,35,173],"extraction":[6],"approach":[7],"in":[8,53,138],"federated":[9],"learning":[10,110],"to":[11,63,68,92,112,116,167],"address":[12],"privacy-preservation":[13],"issues":[14],"for":[15,34,97,201],"speech":[16,59],"recognition.":[17,100],"It":[18],"is":[19,60,143],"built":[20],"upon":[21],"quantum":[23,31,65,80,109,163],"convolutional":[24,74,154],"neural":[25,40],"network":[26,41],"(QCNN)":[27],"composed":[28],"of":[29,107,136,161],"circuit":[32,81,164],"encoder":[33,131,165],"extraction,":[36],"and":[37,71,115,190],"recurrent":[39],"(RNN)":[42],"based":[43],"end-to-end":[44],"acoustic":[45],"model":[46,50,96],"(AM).":[47],"To":[48],"enhance":[49],"parameter":[51],"protection":[52],"architecture,":[56],"an":[57,158,196],"input":[58,192],"first":[61],"up-streamed":[62],"computing":[66],"server":[67],"extract":[69],"Mel-spectrogram,":[70],"the":[72,93,98,108,123,128,146,183,191],"corresponding":[73],"features":[75,88],"are":[76,89],"encoded":[77,87],"using":[78,149],"algorithm":[82],"with":[83,153],"random":[84],"parameters.":[85],"The":[86,101],"then":[90],"down-streamed":[91],"local":[94],"RNN":[95,151],"final":[99],"proposed":[102,129,184],"framework":[104],"takes":[105],"advantage":[106],"progress":[111],"secure":[113],"models":[114,152],"avoid":[117],"privacy":[118],"leakage":[119],"attacks.":[120],"Testing":[121],"on":[122],"Google":[124],"Speech":[125],"Commands":[126],"Dataset,":[127],"QCNN":[130,185],"attains":[132],"competitive":[134],"accuracy":[135],"95.12%":[137],"model,":[141],"which":[142],"better":[144],"than":[145],"previous":[147],"architectures":[148,166],"centralized":[150],"features.":[155],"conduct":[157],"in-depth":[159],"study":[160],"different":[162],"provide":[168,195],"insights":[169],"into":[170],"designing":[171],"QCNN-based":[172],"extractors.":[174],"Neural":[175],"saliency":[176],"analyses":[177],"demonstrate":[178],"high":[180],"correlation":[181],"between":[182],"features,":[186],"class":[187],"activation":[188],"maps,":[189],"Mel-spectrogram.":[193],"implementation":[197],"<sup":[198],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[199],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[200],"future":[202],"studies.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}