{"id":"https://openalex.org/W3182970290","doi":"https://doi.org/10.1109/lwc.2021.3095383","title":"A Hybrid Deep-Learning Approach for Single Channel HF-SSB Speech Enhancement","display_name":"A Hybrid Deep-Learning Approach for Single Channel HF-SSB Speech Enhancement","publication_year":2021,"publication_date":"2021-07-07","ids":{"openalex":"https://openalex.org/W3182970290","doi":"https://doi.org/10.1109/lwc.2021.3095383","mag":"3182970290"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2021.3095383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2021.3095383","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications Letters","raw_type":"journal-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/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":true,"raw_author_name":"Yantao Chen","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China","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":["National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704351","display_name":"Xiaoxue Zhang","orcid":"https://orcid.org/0000-0003-2605-6902"},"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":"Xiaoxue Zhang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101487064","display_name":"Pengyu Gao","orcid":"https://orcid.org/0009-0007-3152-1385"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pengyu Gao","raw_affiliation_strings":["5G Innovation Center, University of Surrey, Surrey, U.K"],"affiliations":[{"raw_affiliation_string":"5G Innovation Center, University of Surrey, Surrey, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020825307","display_name":"Shaoqian Li","orcid":"https://orcid.org/0000-0001-7030-3195"},"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":"Shaoqian Li","raw_affiliation_strings":["National Key Laboratory of Communications, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Communications, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020467697"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.4571,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.607167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":"10","first_page":"2165","last_page":"2169"},"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":0.9983000159263611,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9972000122070312,"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/fading","display_name":"Fading","score":0.7520242929458618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6665302515029907},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6543478965759277},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5690934658050537},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49903130531311035},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.44234806299209595},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.42206281423568726},{"id":"https://openalex.org/keywords/subnet","display_name":"Subnet","score":0.41677093505859375},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.4109792709350586},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.3896148204803467},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3607777953147888},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3390886187553406},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3110376298427582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2937973141670227},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.27338188886642456},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15420487523078918},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.15253809094429016},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11475586891174316},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07160896062850952}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.7520242929458618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6665302515029907},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6543478965759277},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5690934658050537},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49903130531311035},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.44234806299209595},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.42206281423568726},{"id":"https://openalex.org/C21099817","wikidata":"https://www.wikidata.org/wiki/Q7631721","display_name":"Subnet","level":2,"score":0.41677093505859375},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.4109792709350586},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3896148204803467},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3607777953147888},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3390886187553406},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3110376298427582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2937973141670227},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.27338188886642456},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15420487523078918},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.15253809094429016},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11475586891174316},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07160896062850952},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lwc.2021.3095383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2021.3095383","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G7199178231","display_name":null,"funder_award_id":"2020YFB1807700","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":19,"referenced_works":["https://openalex.org/W1498945097","https://openalex.org/W1552314771","https://openalex.org/W1968939597","https://openalex.org/W2031722966","https://openalex.org/W2078528584","https://openalex.org/W2128653836","https://openalex.org/W2141998673","https://openalex.org/W2516342150","https://openalex.org/W2546853769","https://openalex.org/W2626544737","https://openalex.org/W2797972631","https://openalex.org/W2896195146","https://openalex.org/W2943554574","https://openalex.org/W2962866211","https://openalex.org/W2963453742","https://openalex.org/W2990467641","https://openalex.org/W3015844538","https://openalex.org/W3020389402","https://openalex.org/W6775597589"],"related_works":["https://openalex.org/W2294333436","https://openalex.org/W2653598178","https://openalex.org/W2747006289","https://openalex.org/W2072884270","https://openalex.org/W4252682934","https://openalex.org/W2002243964","https://openalex.org/W2356426224","https://openalex.org/W2734909224","https://openalex.org/W2022538999","https://openalex.org/W2124849039"],"abstract_inverted_index":{"The":[0],"high-frequency":[1],"single":[2],"side-band":[3],"(HF-SSB)":[4],"speech":[5,13,19,33,56,142],"radio":[6],"is":[7,20,51],"an":[8],"essential":[9],"technique":[10],"for":[11],"long-distance":[12],"transmission.":[14],"However,":[15],"the":[16,31,39,55,59,63,68,76,82,101,104,111,130,140,153,157,161],"HF-SSB":[17,60],"received":[18],"corrupted":[21],"by":[22,121],"both":[23],"high-power":[24],"noise":[25,83,86,116,134,167],"and":[26,30,91,103,118,123,150],"severe":[27],"channel":[28,79],"fading,":[29],"typical":[32,162],"enhancement":[34],"methods":[35,163],"only":[36,165],"focus":[37],"on":[38],"suppression":[40,84,87,117,135],"of":[41,58,78,115,147,156],"additive":[42],"noise.":[43],"In":[44,62,81,107],"this":[45],"letter,":[46],"a":[47],"two-stage":[48],"hybrid":[49],"approach":[50],"proposed":[52,158],"to":[53,74,98],"enhance":[54],"quality":[57,151],"radio.":[61],"anti-fading":[64,69,119],"stage,":[65,85],"we":[66,109],"adopt":[67],"convolution":[70],"neural":[71],"network":[72],"(AF-CNN)":[73],"eliminate":[75],"effects":[77],"fading.":[80],"CNN":[88],"(NS-CNN)":[89],"subnet":[90,132],"unsupervised":[92],"denoising":[93],"block":[94],"are":[95],"used":[96],"parallelly":[97],"further":[99],"improve":[100],"performance":[102,155],"generalization":[105],"ability.":[106],"addition,":[108],"present":[110],"optimal":[112],"topological":[113],"relations":[114],"modules":[120],"comparison":[122],"analysis.":[124],"Experimental":[125],"results":[126],"show":[127],"that":[128,164],"applying":[129],"AF-CNN":[131],"before":[133],"can":[136],"effectively":[137],"help":[138],"recover":[139],"weak":[141],"components.":[143],"Moreover,":[144],"in":[145],"terms":[146],"objective":[148],"intelligibility":[149],"scores,":[152],"overall":[154],"method":[159],"outperforms":[160],"consider":[166],"suppression.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
