{"id":"https://openalex.org/W3011573174","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023132","title":"Speech Loss Compensation by Generative Adversarial Networks","display_name":"Speech Loss Compensation by Generative Adversarial Networks","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3011573174","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023132","mag":"3011573174"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc47483.2019.9023132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5020510777","display_name":"Yupeng Shi","orcid":"https://orcid.org/0009-0001-8898-6278"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yupeng Shi","raw_affiliation_strings":["The Guangdong Key Laboratory of Intelligent Information Processing, College of Electronic and Information Engineering, Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"The Guangdong Key Laboratory of Intelligent Information Processing, College of Electronic and Information Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078485183","display_name":"Nengheng Zheng","orcid":"https://orcid.org/0000-0002-4493-1160"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nengheng Zheng","raw_affiliation_strings":["The Guangdong Key Laboratory of Intelligent Information Processing, College of Electronic and Information Engineering, Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"The Guangdong Key Laboratory of Intelligent Information Processing, College of Electronic and Information Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026722702","display_name":"Yuyong Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyong Kang","raw_affiliation_strings":["The Guangdong Key Laboratory of Intelligent Information Processing, College of Electronic and Information Engineering, Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"The Guangdong Key Laboratory of Intelligent Information Processing, College of Electronic and Information Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066935694","display_name":"Weicong Rong","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weicong Rong","raw_affiliation_strings":["The Guangdong Key Laboratory of Intelligent Information Processing, College of Electronic and Information Engineering, Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"The Guangdong Key Laboratory of Intelligent Information Processing, College of Electronic and Information Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020510777"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":2.4879,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.90536394,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"347","last_page":"351"},"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":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8050947189331055},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7939749956130981},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.7754603624343872},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.575148344039917},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.552840530872345},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5519704222679138},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5163449048995972},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46322253346443176},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.44713306427001953},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4450056552886963},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4164130389690399},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.41236400604248047},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.41054394841194153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39680591225624084},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.36716169118881226},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22415593266487122},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17685088515281677}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8050947189331055},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7939749956130981},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.7754603624343872},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.575148344039917},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.552840530872345},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5519704222679138},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5163449048995972},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46322253346443176},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.44713306427001953},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4450056552886963},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4164130389690399},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.41236400604248047},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.41054394841194153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39680591225624084},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.36716169118881226},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22415593266487122},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17685088515281677},{"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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc47483.2019.9023132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W258661521","https://openalex.org/W1517841224","https://openalex.org/W1522137499","https://openalex.org/W1522301498","https://openalex.org/W1552314771","https://openalex.org/W1591013319","https://openalex.org/W2067295501","https://openalex.org/W2132036212","https://openalex.org/W2132865921","https://openalex.org/W2137431935","https://openalex.org/W2141486427","https://openalex.org/W2147152002","https://openalex.org/W2156869608","https://openalex.org/W2159342279","https://openalex.org/W2243752967","https://openalex.org/W2326514337","https://openalex.org/W2330127310","https://openalex.org/W2399742709","https://openalex.org/W2426038346","https://openalex.org/W2526425061","https://openalex.org/W2593414223","https://openalex.org/W2603567530","https://openalex.org/W2892335023","https://openalex.org/W2892356933","https://openalex.org/W2924508610","https://openalex.org/W2962866211","https://openalex.org/W2963073614","https://openalex.org/W2963341071","https://openalex.org/W2963373786","https://openalex.org/W2963684088","https://openalex.org/W2963800363","https://openalex.org/W2963952344","https://openalex.org/W3103427680","https://openalex.org/W4297817572","https://openalex.org/W4298289240","https://openalex.org/W6634531052","https://openalex.org/W6682013673","https://openalex.org/W6685352114","https://openalex.org/W6712300757"],"related_works":["https://openalex.org/W3005996785","https://openalex.org/W4293320219","https://openalex.org/W2953246223","https://openalex.org/W4328029048","https://openalex.org/W2952936466","https://openalex.org/W2914998939","https://openalex.org/W2561036008","https://openalex.org/W2554314924","https://openalex.org/W4288624664","https://openalex.org/W2809882560"],"abstract_inverted_index":{"Speech":[0],"loss,":[1,7],"including":[2],"frequency":[3],"loss":[4,50,80,86],"and":[5,39,78,107],"packet":[6,79],"can":[8],"lead":[9],"to":[10,65,100,110],"significant":[11],"speech":[12,17,49],"distortion":[13],"in":[14,104],"many":[15],"Internet-based":[16],"communication":[18],"services.":[19],"In":[20],"this":[21],"study,":[22],"a":[23,45],"generative":[24],"adversarial":[25],"networks":[26,34],"(GANs)":[27],"structure,":[28],"which":[29],"takes":[30],"deep":[31],"convolutional":[32],"neural":[33],"(CNN)":[35],"as":[36,44],"the":[37,67,70,92,111],"generator":[38],"discriminator":[40],"components,":[41],"is":[42],"adopted":[43],"general":[46],"framework":[47,72],"for":[48,56,73],"compensation.":[51],"Network":[52],"settings":[53],"are":[54,63],"modified":[55],"real-time":[57],"communications.":[58],"A":[59],"set":[60],"of":[61,69],"experiments":[62],"conducted":[64],"evaluate":[66],"performance":[68],"GANs-based":[71],"both":[74,105],"bandwidth":[75],"expansion":[76],"(BWE)":[77],"concealment":[81],"(PLC)":[82],"at":[83],"several":[84],"simulated":[85],"conditions.":[87],"Experimental":[88],"results":[89],"demonstrate":[90],"that":[91],"proposed":[93],"system":[94],"achieves":[95],"better":[96],"performance,":[97],"with":[98],"respective":[99],"4":[101],"objective":[102],"metrics,":[103],"BWE":[106],"PLC":[108],"compared":[109],"baseline":[112],"systems.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}