{"id":"https://openalex.org/W4360996627","doi":"https://doi.org/10.1109/icct56141.2022.10072965","title":"DGCN: Dynamic Gate Convolutional Networks for Speech Enhancement","display_name":"DGCN: Dynamic Gate Convolutional Networks for Speech Enhancement","publication_year":2022,"publication_date":"2022-11-11","ids":{"openalex":"https://openalex.org/W4360996627","doi":"https://doi.org/10.1109/icct56141.2022.10072965"},"language":"en","primary_location":{"id":"doi:10.1109/icct56141.2022.10072965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct56141.2022.10072965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","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/A5020467697","display_name":"Yantao Chen","orcid":"https://orcid.org/0000-0001-6800-6116"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yantao Chen","raw_affiliation_strings":["University of Electronic Science and Technology of China,National Key Laboratory of Science and Technology on Communications,Chengdu,China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,National Key Laboratory of Science and Technology on Communications,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036686399","display_name":"Binhong Dong","orcid":"https://orcid.org/0000-0003-1903-8634"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binhong Dong","raw_affiliation_strings":["University of Electronic Science and Technology of China,National Key Laboratory of Science and Technology on Communications,Chengdu,China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,National Key Laboratory of Science and Technology on Communications,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074713254","display_name":"Cuiting Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuiting Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China,National Key Laboratory of Science and Technology on Communications,Chengdu,China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,National Key Laboratory of Science and Technology on Communications,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101470264","display_name":"Wenhui Xiong","orcid":"https://orcid.org/0000-0003-2051-0457"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Xiong","raw_affiliation_strings":["University of Electronic Science and Technology of China,National Key Laboratory of Science and Technology on Communications,Chengdu,China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,National Key Laboratory of Science and Technology on Communications,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.1845,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4420589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1184","last_page":"1188"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.994700014591217,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8097061514854431},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.587610125541687},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.49638301134109497},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4915822446346283},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4744319021701813},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4734218716621399},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4658447504043579},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4655481278896332},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45566219091415405},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4252944886684418},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4129261374473572},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.38651716709136963},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3692813515663147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3498342037200928},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2532850205898285},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13057881593704224},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12551647424697876},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07564982771873474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8097061514854431},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.587610125541687},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.49638301134109497},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4915822446346283},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4744319021701813},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4734218716621399},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4658447504043579},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4655481278896332},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45566219091415405},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4252944886684418},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4129261374473572},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.38651716709136963},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3692813515663147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3498342037200928},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2532850205898285},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13057881593704224},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12551647424697876},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07564982771873474},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct56141.2022.10072965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct56141.2022.10072965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1492302538","display_name":null,"funder_award_id":"2020YF-B1807700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1482149378","https://openalex.org/W1523680888","https://openalex.org/W1635512741","https://openalex.org/W1974387177","https://openalex.org/W2109349638","https://openalex.org/W2128653836","https://openalex.org/W2159202424","https://openalex.org/W2626544737","https://openalex.org/W2755177320","https://openalex.org/W2774389566","https://openalex.org/W2937484199","https://openalex.org/W2940275453","https://openalex.org/W2943554574","https://openalex.org/W2962866211","https://openalex.org/W2974407961","https://openalex.org/W2991015288","https://openalex.org/W2991361823","https://openalex.org/W3015197852","https://openalex.org/W3034421924","https://openalex.org/W3097681199","https://openalex.org/W3097817799","https://openalex.org/W3101330598","https://openalex.org/W3161950572","https://openalex.org/W3162493033","https://openalex.org/W3181848549","https://openalex.org/W3198968036","https://openalex.org/W3205902195","https://openalex.org/W6770282137","https://openalex.org/W6802363212"],"related_works":["https://openalex.org/W2610189143","https://openalex.org/W2159424856","https://openalex.org/W4390516098","https://openalex.org/W2136831313","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2119916994","https://openalex.org/W2141457018","https://openalex.org/W2132373020","https://openalex.org/W2096049278"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"methods":[2],"have":[3],"become":[4],"the":[5,26,47,52,56,60,75,79,83,97,100,105,123,133,136,143,148,152,156],"mainstream":[6],"of":[7,55,78,99,135,151],"speech":[8,27,62],"enhancement":[9,28],"(SE).":[10],"However,":[11],"finding":[12],"a":[13,23,33,43,64,89],"network":[14,38,57],"with":[15],"high":[16],"performance":[17,98,126,150],"and":[18,92,103,127,139,142],"low":[19],"complexity":[20],"is":[21,40,71],"still":[22],"challenge":[24],"for":[25,58],"task.":[29],"In":[30,85],"this":[31],"letter,":[32],"dynamic":[34,67],"convolutional-based":[35],"multi-target":[36],"learning":[37],"DGCN":[39,154],"proposed":[41,72,137,153],"as":[42],"feasible":[44],"solution":[45],"to":[46,73,95,121],"above":[48],"difficulties.":[49],"To":[50],"enhance":[51],"representation":[53],"ability":[54],"extracting":[59],"clean":[61],"features,":[63],"lightweight":[65],"channel":[66,109],"convolution":[68],"(CDF)":[69],"module":[70,102],"replace":[74],"convolutional":[76],"layer":[77],"main":[80],"branch":[81],"in":[82,108],"network.":[84],"addition,":[86],"we":[87,113],"design":[88,120],"triple-branch":[90],"encoder":[91],"decoder":[93],"structure":[94],"boost":[96],"CDF":[101,138],"avoid":[104],"corresponding":[106],"defect":[107],"information":[110],"exchange.":[111],"Moreover,":[112],"propose":[114],"an":[115],"efficient":[116],"multi-branch":[117],"output":[118],"(MBO)":[119],"balance":[122],"tradeoff":[124],"between":[125],"complexity.":[128],"The":[129],"ablation":[130],"study":[131],"confirms":[132],"efficiency":[134],"MBO":[140],"module,":[141],"experimental":[144],"results":[145],"show":[146],"that":[147],"overall":[149],"outperforms":[155],"state-of-the-art":[157],"SE":[158],"methods.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
