{"id":"https://openalex.org/W4206212023","doi":"https://doi.org/10.1109/icct52962.2021.9658055","title":"Speech Bandwidth Extension Based on Wasserstein Generative Adversarial Network","display_name":"Speech Bandwidth Extension Based on Wasserstein Generative Adversarial Network","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W4206212023","doi":"https://doi.org/10.1109/icct52962.2021.9658055"},"language":"en","primary_location":{"id":"doi:10.1109/icct52962.2021.9658055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct52962.2021.9658055","pdf_url":null,"source":{"id":"https://openalex.org/S4363607878","display_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"},"type":"article","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/A5036647178","display_name":"Xikun Chen","orcid":"https://orcid.org/0000-0003-1077-2015"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xikun Chen","raw_affiliation_strings":["South China University of Technology,School of Electronic and Information Engineering,Guangzhou,China","School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Electronic and Information Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101795525","display_name":"Junmei Yang","orcid":"https://orcid.org/0000-0002-9677-0768"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junmei Yang","raw_affiliation_strings":["South China University of Technology,School of Electronic and Information Engineering,Guangzhou,China","School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Electronic and Information Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036647178"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.3441,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57622565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2015","issue":null,"first_page":"1356","last_page":"1362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9987999796867371,"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":0.9987999796867371,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/bandwidth-extension","display_name":"Bandwidth extension","score":0.815468966960907},{"id":"https://openalex.org/keywords/narrowband","display_name":"Narrowband","score":0.7972485423088074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.746681272983551},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.6310862302780151},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5738283395767212},{"id":"https://openalex.org/keywords/wideband-audio","display_name":"Wideband audio","score":0.5423008799552917},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.5201621055603027},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4773833155632019},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47553113102912903},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4261886477470398},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4237286150455475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3996661305427551},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23884153366088867},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.1855263113975525},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.17958027124404907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17549198865890503},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09955057501792908},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.09714102745056152},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09153789281845093}],"concepts":[{"id":"https://openalex.org/C9387945","wikidata":"https://www.wikidata.org/wiki/Q4854770","display_name":"Bandwidth extension","level":4,"score":0.815468966960907},{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.7972485423088074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746681272983551},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.6310862302780151},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5738283395767212},{"id":"https://openalex.org/C173391809","wikidata":"https://www.wikidata.org/wiki/Q2740189","display_name":"Wideband audio","level":5,"score":0.5423008799552917},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.5201621055603027},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4773833155632019},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47553113102912903},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4261886477470398},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4237286150455475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3996661305427551},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23884153366088867},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.1855263113975525},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.17958027124404907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17549198865890503},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09955057501792908},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.09714102745056152},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09153789281845093},{"id":"https://openalex.org/C87687168","wikidata":"https://www.wikidata.org/wiki/Q173114","display_name":"Digital audio","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct52962.2021.9658055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct52962.2021.9658055","pdf_url":null,"source":{"id":"https://openalex.org/S4363607878","display_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","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":27,"referenced_works":["https://openalex.org/W26348862","https://openalex.org/W1517841224","https://openalex.org/W1522301498","https://openalex.org/W1989337816","https://openalex.org/W1997763773","https://openalex.org/W2026814673","https://openalex.org/W2034562896","https://openalex.org/W2147152002","https://openalex.org/W2182920677","https://openalex.org/W2407774997","https://openalex.org/W2519091744","https://openalex.org/W2536224642","https://openalex.org/W2584032004","https://openalex.org/W2591556207","https://openalex.org/W2784918340","https://openalex.org/W2806713271","https://openalex.org/W2892335023","https://openalex.org/W2940120659","https://openalex.org/W2940290905","https://openalex.org/W2963470893","https://openalex.org/W2963952344","https://openalex.org/W3016166140","https://openalex.org/W3048281638","https://openalex.org/W3095095816","https://openalex.org/W3122318757","https://openalex.org/W3163243746","https://openalex.org/W4298289240"],"related_works":["https://openalex.org/W2017913521","https://openalex.org/W2152250293","https://openalex.org/W2040901912","https://openalex.org/W3135807828","https://openalex.org/W2403497193","https://openalex.org/W2132462584","https://openalex.org/W2790274877","https://openalex.org/W2098618660","https://openalex.org/W1968385191","https://openalex.org/W2141852988"],"abstract_inverted_index":{"Artificial":[0],"bandwidth":[1],"extension":[2],"(ABE)":[3],"algorithms":[4],"have":[5],"been":[6],"developed":[7],"to":[8,19,29,42,69],"improve":[9],"the":[10,58,142,148],"quality":[11],"of":[12],"narrowband":[13,35],"calls":[14],"before":[15],"devices":[16],"are":[17],"upgraded":[18],"wideband":[20,38],"calls.":[21],"Most":[22],"methods":[23],"use":[24],"deep":[25,52],"neural":[26,53],"networks":[27,54],"(DNN)":[28],"establish":[30],"a":[31,88,102,116,125],"nonlinear":[32],"relationship":[33],"between":[34],"components":[36,46],"and":[37,79,124,132],"components,":[39],"so":[40],"as":[41],"predict":[43],"high":[44,66,76,158],"frequency":[45,77,159],"from":[47],"narrowband.":[48],"Although":[49],"traditional":[50,149],"convolutional":[51],"(CNN)":[55],"trained":[56],"on":[57,110],"minimum":[59,150],"mean":[60,151],"square":[61,152],"error":[62,153],"(MSE)":[63],"can":[64],"bring":[65],"peak":[67],"Signal":[68],"Noise":[70],"Ratio":[71],"(SNR),":[72],"it":[73],"usually":[74],"lacks":[75],"details":[78],"has":[80],"poor":[81],"generalization.":[82],"In":[83,97],"this":[84,98],"paper,":[85,99],"we":[86,100],"propose":[87,101],"speech":[89,104],"signal":[90,105],"super-resolution":[91],"Wasserstein":[92,111],"generative":[93],"adversarial":[94,113,120,130],"network":[95,117,155],"(SRWGAN).":[96],"new":[103],"super":[106],"resolution":[107],"method":[108],"based":[109],"generated":[112],"network,":[114],"where":[115],"joined":[118],"with":[119],"learning":[121],"is":[122,135,145],"designed":[123],"perceptual":[126],"loss":[127,131,134],"function":[128],"including":[129],"regression":[133],"derived.":[136],"The":[137],"simulation":[138],"results":[139],"shows":[140],"that":[141],"proposed":[143],"scheme":[144],"better":[146],"than":[147],"training":[154],"in":[156],"predicting":[157],"components.":[160]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}