{"id":"https://openalex.org/W4408565333","doi":"https://doi.org/10.1109/tim.2025.3551848","title":"Speech Enhancement for VHF Communication Audio Empowered by Feature Consistency and Contrastive Learning","display_name":"Speech Enhancement for VHF Communication Audio Empowered by Feature Consistency and Contrastive Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408565333","doi":"https://doi.org/10.1109/tim.2025.3551848"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3551848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3551848","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Transactions on Instrumentation and Measurement","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/A5101858832","display_name":"Jinyi Gao","orcid":"https://orcid.org/0009-0000-6448-4743"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyi Gao","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0000-6448-4743","affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446730","display_name":"Weiwei Zhang","orcid":"https://orcid.org/0000-0001-8445-7398"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Zhang","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-8445-7398","affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080833267","display_name":"De Hu","orcid":"https://orcid.org/0000-0003-0226-917X"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De Hu","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University, Hohhot, China"],"raw_orcid":"https://orcid.org/0000-0003-0226-917X","affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063170334","display_name":"Mingyang Pan","orcid":"https://orcid.org/0000-0003-1327-6105"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Pan","raw_affiliation_strings":["Navigation College, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-1327-6105","affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8049,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82865943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9588000178337097,"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":0.9100000262260437,"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/computer-science","display_name":"Computer science","score":0.6632558107376099},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6060918569564819},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5754249095916748},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5422845482826233},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.48125049471855164},{"id":"https://openalex.org/keywords/audio-equipment","display_name":"Audio equipment","score":0.4722299575805664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2607545852661133},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1796775460243225},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14939254522323608},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.12024596333503723},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0942811369895935},{"id":"https://openalex.org/keywords/background-noise","display_name":"Background noise","score":0.08195430040359497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6632558107376099},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6060918569564819},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5754249095916748},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5422845482826233},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.48125049471855164},{"id":"https://openalex.org/C2778488704","wikidata":"https://www.wikidata.org/wiki/Q15190726","display_name":"Audio equipment","level":2,"score":0.4722299575805664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2607545852661133},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1796775460243225},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14939254522323608},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.12024596333503723},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0942811369895935},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.08195430040359497},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3551848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3551848","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3613256139","display_name":null,"funder_award_id":"62201297","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3849788684","display_name":null,"funder_award_id":"62361045","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6987529742","display_name":null,"funder_award_id":"52371363","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1552314771","https://openalex.org/W1978902613","https://openalex.org/W2064076387","https://openalex.org/W2141998673","https://openalex.org/W2239141610","https://openalex.org/W2962866211","https://openalex.org/W2963341071","https://openalex.org/W2964058413","https://openalex.org/W2972436155","https://openalex.org/W3096408984","https://openalex.org/W3111318172","https://openalex.org/W3113290170","https://openalex.org/W3134695619","https://openalex.org/W3161273075","https://openalex.org/W3196475561","https://openalex.org/W3202242454","https://openalex.org/W3206706278","https://openalex.org/W4210682693","https://openalex.org/W4221144097","https://openalex.org/W4313174479","https://openalex.org/W4367851274","https://openalex.org/W4372347394","https://openalex.org/W4380434618","https://openalex.org/W4383750092","https://openalex.org/W4385822341","https://openalex.org/W4385822723","https://openalex.org/W4388018834","https://openalex.org/W4390660257","https://openalex.org/W4391019534","https://openalex.org/W4393156689","https://openalex.org/W4395447416","https://openalex.org/W4400722814","https://openalex.org/W4402111645","https://openalex.org/W6637373629","https://openalex.org/W6695553435","https://openalex.org/W6762114000"],"related_works":["https://openalex.org/W1630865680","https://openalex.org/W1603736412","https://openalex.org/W4214692512","https://openalex.org/W4304185162","https://openalex.org/W2061685118","https://openalex.org/W3006282800","https://openalex.org/W2462100143","https://openalex.org/W2373767407","https://openalex.org/W3096184950","https://openalex.org/W4231424160"],"abstract_inverted_index":{"Very-high-frequency":[0],"(VHF)":[1],"communication":[2,18,83],"instruments":[3],"are":[4,75,137],"widely":[5],"applied":[6],"in":[7,42,49,94,176],"vessels":[8],"for":[9,77],"transmitting":[10],"both":[11,159],"regular":[12],"and":[13,71,108,124,134,143,161,164,198],"emergency":[14],"information.":[15],"However,":[16],"VHF":[17,82],"speech":[19,30,68,107,133,153,157,173,194],"often":[20],"deteriorates":[21],"severely":[22],"due":[23],"to":[24,104],"complex":[25],"transmission":[26],"conditions.":[27],"Most":[28],"existing":[29,54],"enhancement":[31],"(SE)":[32],"models":[33],"ignore":[34],"the":[35,43,50,111,114,121,125,129,132,151,165,184,208,213,228,232],"correlation":[36],"of":[37,193],"different":[38],"time-frequency":[39],"(TF)":[40],"units":[41],"frequency":[44],"domain":[45],"or":[46],"temporal":[47],"samples":[48],"time":[51],"domain.":[52],"Additionally,":[53],"loss":[55,70],"functions":[56],"cannot":[57],"effectively":[58],"model":[59],"spectral":[60],"details":[61],"with":[62,155],"less":[63],"intensities.":[64],"As":[65],"a":[66,99,188,199,219],"result,":[67],"partial":[69],"residual":[72],"noise":[73,115,135,175],"problems":[74],"serious":[76],"low":[78],"signal-to-noise":[79],"ratio":[80],"(SNR)":[81],"speech.":[84],"To":[85],"address":[86],"these":[87],"problems,":[88],"an":[89],"SE":[90],"network":[91,186,211,230],"is":[92,102,116],"proposed":[93,185],"this":[95],"work.":[96],"More":[97],"specifically,":[98],"coarse-refine":[100],"strategy":[101],"introduced":[103],"better":[105,170],"disentangle":[106],"noise.":[109],"In":[110,128],"coarse":[112],"stage,":[113,131],"preliminarily":[117],"removed":[118],"based":[119,140],"on":[120,141,212,231],"encoder-conformer\u2013decoder":[122],"backbone":[123],"consistency":[126,142,148],"module.":[127],"refine":[130],"partials":[136],"further":[138],"disentangled":[139],"contrastive":[144,166],"learning":[145,167],"modules.":[146],"The":[147],"module":[149,168],"makes":[150],"enhanced":[152],"consistent":[154],"clean":[156,172],"at":[158],"fine-grained":[160],"global":[162],"levels,":[163],"can":[169],"distinguish":[171],"from":[174],"hidden":[177],"feature":[178],"space.":[179],"Experimental":[180],"results":[181],"demonstrate":[182],"that":[183],"obtains":[187],"28.0%":[189],"higher":[190,201,221],"perceptual":[191],"evaluation":[192],"quality":[195],"(PESQ)":[196],"score":[197,206,224,226],"3.8%":[200],"short-term":[202],"objective":[203],"intelligibility":[204],"(STOI)":[205],"than":[207,227],"state-of-the-art":[209],"(SOTA)":[210],"synthesized":[214],"dataset.":[215,234],"Also,":[216],"it":[217],"achieves":[218],"4.5%":[220],"mean":[222],"opinion":[223],"(MOS)":[225],"SOTA":[229],"real-world":[233]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
