{"id":"https://openalex.org/W4308650968","doi":"https://doi.org/10.1109/vlsi-soc54400.2022.9939632","title":"FPGA-SoC Deployment of Complex Deep Neural Network for Magnitude and Phase Computations in Denoising of Speech Signal","display_name":"FPGA-SoC Deployment of Complex Deep Neural Network for Magnitude and Phase Computations in Denoising of Speech Signal","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4308650968","doi":"https://doi.org/10.1109/vlsi-soc54400.2022.9939632"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-soc54400.2022.9939632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc54400.2022.9939632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)","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/A5071667158","display_name":"Georgios Flamis","orcid":"https://orcid.org/0000-0002-1425-0110"},"institutions":[{"id":"https://openalex.org/I158716096","display_name":"University of Peloponnese","ror":"https://ror.org/04d4d3c02","country_code":"GR","type":"education","lineage":["https://openalex.org/I158716096"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Flamis","raw_affiliation_strings":["University of the Peloponnese,ECSA Lab.,Electrical and Computer Engineering Department,Patras,Greece","Electrical and Computer Engineering Department, ECSA Lab., University of the Peloponnese, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of the Peloponnese,ECSA Lab.,Electrical and Computer Engineering Department,Patras,Greece","institution_ids":["https://openalex.org/I158716096"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, ECSA Lab., University of the Peloponnese, Patras, Greece","institution_ids":["https://openalex.org/I158716096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064600032","display_name":"Stavros Kalapothas","orcid":"https://orcid.org/0000-0002-8261-5898"},"institutions":[{"id":"https://openalex.org/I158716096","display_name":"University of Peloponnese","ror":"https://ror.org/04d4d3c02","country_code":"GR","type":"education","lineage":["https://openalex.org/I158716096"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Stavros Kalapothas","raw_affiliation_strings":["University of the Peloponnese,ECSA Lab.,Electrical and Computer Engineering Department,Patras,Greece","Electrical and Computer Engineering Department, ECSA Lab., University of the Peloponnese, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of the Peloponnese,ECSA Lab.,Electrical and Computer Engineering Department,Patras,Greece","institution_ids":["https://openalex.org/I158716096"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, ECSA Lab., University of the Peloponnese, Patras, Greece","institution_ids":["https://openalex.org/I158716096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082037558","display_name":"Paris Kitsos","orcid":"https://orcid.org/0000-0003-1851-8775"},"institutions":[{"id":"https://openalex.org/I158716096","display_name":"University of Peloponnese","ror":"https://ror.org/04d4d3c02","country_code":"GR","type":"education","lineage":["https://openalex.org/I158716096"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Paris Kitsos","raw_affiliation_strings":["University of the Peloponnese,ECSA Lab.,Electrical and Computer Engineering Department,Patras,Greece","Electrical and Computer Engineering Department, ECSA Lab., University of the Peloponnese, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of the Peloponnese,ECSA Lab.,Electrical and Computer Engineering Department,Patras,Greece","institution_ids":["https://openalex.org/I158716096"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, ECSA Lab., University of the Peloponnese, Patras, Greece","institution_ids":["https://openalex.org/I158716096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158716096"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12267914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":1.0,"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":0.9991000294685364,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7720271944999695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7524528503417969},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5156806707382202},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4956313371658325},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.48985549807548523},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.464103102684021},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4562763273715973},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42582905292510986},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4181443452835083},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.38840416073799133},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.37008845806121826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3419470191001892},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.22344857454299927}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7720271944999695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524528503417969},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5156806707382202},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4956313371658325},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.48985549807548523},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.464103102684021},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4562763273715973},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42582905292510986},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4181443452835083},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.38840416073799133},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.37008845806121826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3419470191001892},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.22344857454299927},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vlsi-soc54400.2022.9939632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc54400.2022.9939632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1974387177","https://openalex.org/W2041498927","https://openalex.org/W2063315907","https://openalex.org/W2070126272","https://openalex.org/W2070266332","https://openalex.org/W2089240210","https://openalex.org/W2095072097","https://openalex.org/W2121973264","https://openalex.org/W2128653836","https://openalex.org/W2142284086","https://openalex.org/W2515857129","https://openalex.org/W2594170997","https://openalex.org/W2603267202","https://openalex.org/W2889597349","https://openalex.org/W2936689732","https://openalex.org/W2953726307","https://openalex.org/W3135057216","https://openalex.org/W4320002916","https://openalex.org/W6680827141","https://openalex.org/W6790711165"],"related_works":["https://openalex.org/W2111241003","https://openalex.org/W2355315220","https://openalex.org/W4200391368","https://openalex.org/W2210979487","https://openalex.org/W2074043759","https://openalex.org/W2316202402","https://openalex.org/W2082487009","https://openalex.org/W2373535795","https://openalex.org/W4375867731","https://openalex.org/W3103262449"],"abstract_inverted_index":{"Phase":[0],"aware":[1],"speech":[2,114,122],"processing":[3,146],"has":[4],"been":[5],"recognized":[6],"as":[7],"important":[8],"characteristic":[9],"with":[10,39,135,144],"significant":[11],"contribution":[12],"in":[13,81,102],"denoising":[14,120],"of":[15,21,27,35,43,97,121,128],"voiced":[16],"signals":[17],"for":[18,32,65,94,111],"the":[19,28,33,36,40,44,50,91,95,117,126],"Audio":[20],"Things":[22],"(AoT)":[23],"implementations.":[24],"Accurate":[25],"representation":[26],"time-frequency":[29],"(TF)":[30],"component":[31],"extraction":[34],"features,":[37],"together":[38],"complex":[41,98],"operation":[42],"deep":[45,99],"neural":[46,100],"networks":[47],"(DNN)":[48],"and":[49,105],"signal":[51,83],"reconstruction":[52],"are":[53,71,76],"challenging":[54],"tasks.":[55],"Both":[56],"can":[57],"become":[58],"more":[59],"prominent":[60],"when":[61],"deployment":[62],"is":[63,123],"targeted":[64],"edge":[66],"applications":[67],"that":[68],"hardware":[69,92,109],"resources":[70,107,127],"causing":[72],"limitations,":[73],"while":[74],"they":[75],"often":[77],"exposed":[78],"to":[79,84],"conditions":[80],"low":[82,103,106],"noise":[85],"ratio.In":[86],"this":[87],"paper,":[88],"we":[89],"present":[90],"implementation":[93],"inference":[96],"network":[101],"cost":[104],"embedded":[108],"platform":[110,143],"single":[112],"channel":[113],"enhancement.":[115],"Using":[116],"proposed":[118],"architecture,":[119],"achieved":[124],"within":[125],"a":[129,142],"small":[130],"size":[131],"system":[132],"on":[133],"chip":[134],"field":[136],"programmable":[137],"gate":[138],"array":[139],"(SoC-FPGA),":[140],"constructing":[141],"heterogeneous":[145],"capabilities.":[147]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
