{"id":"https://openalex.org/W3166791908","doi":"https://doi.org/10.1109/jsac.2021.3087240","title":"Semantic Communication Systems for Speech Transmission","display_name":"Semantic Communication Systems for Speech Transmission","publication_year":2021,"publication_date":"2021-06-10","ids":{"openalex":"https://openalex.org/W3166791908","doi":"https://doi.org/10.1109/jsac.2021.3087240","mag":"3166791908"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.2021.3087240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2021.3087240","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"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 Journal on Selected Areas in Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/72821","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059580638","display_name":"Zhenzi Weng","orcid":"https://orcid.org/0000-0003-2773-2722"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zhenzi Weng","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044671638","display_name":"Zhijin Qin","orcid":"https://orcid.org/0000-0002-8507-3975"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhijin Qin","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059580638"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":57.2559,"has_fulltext":true,"cited_by_count":586,"citation_normalized_percentile":{"value":0.9995989,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"39","issue":"8","first_page":"2434","last_page":"2444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998000264167786,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9987000226974487,"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":0.8965158462524414},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6601963043212891},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5524182915687561},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5479124784469604},{"id":"https://openalex.org/keywords/communications-system","display_name":"Communications system","score":0.5003128051757812},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.47114625573158264},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4305765926837921},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4122944474220276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3806217908859253},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2305314838886261},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.0874243974685669}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8965158462524414},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6601963043212891},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5524182915687561},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5479124784469604},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.5003128051757812},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.47114625573158264},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4305765926837921},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4122944474220276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3806217908859253},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2305314838886261},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0874243974685669},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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":2,"locations":[{"id":"doi:10.1109/jsac.2021.3087240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2021.3087240","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"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 Journal on Selected Areas in Communications","raw_type":"journal-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/72821","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/72821","pdf_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/72821","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/72821","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/72821","pdf_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/72821","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3166791908.pdf","grobid_xml":"https://content.openalex.org/works/W3166791908.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1482986122","https://openalex.org/W1552314771","https://openalex.org/W1870787232","https://openalex.org/W2117663257","https://openalex.org/W2127851351","https://openalex.org/W2147768505","https://openalex.org/W2165698076","https://openalex.org/W2584943905","https://openalex.org/W2615762555","https://openalex.org/W2616867685","https://openalex.org/W2707890836","https://openalex.org/W2734408173","https://openalex.org/W2779699222","https://openalex.org/W2784307620","https://openalex.org/W2886374543","https://openalex.org/W2893836673","https://openalex.org/W2946889564","https://openalex.org/W2948427854","https://openalex.org/W2962956060","https://openalex.org/W2963190722","https://openalex.org/W2963403868","https://openalex.org/W2963420686","https://openalex.org/W2964198392","https://openalex.org/W2968026845","https://openalex.org/W2982142226","https://openalex.org/W2993383518","https://openalex.org/W2998578058","https://openalex.org/W3005526854","https://openalex.org/W3008026851","https://openalex.org/W3016715915","https://openalex.org/W3023535103","https://openalex.org/W3036851434","https://openalex.org/W3047573586","https://openalex.org/W3102125291","https://openalex.org/W3113050802","https://openalex.org/W3114944817","https://openalex.org/W3189491540","https://openalex.org/W3198422819","https://openalex.org/W4304980168","https://openalex.org/W4385245566","https://openalex.org/W6639034930","https://openalex.org/W6739901393","https://openalex.org/W6739917289","https://openalex.org/W6777501748","https://openalex.org/W6787447513","https://openalex.org/W6787450248"],"related_works":["https://openalex.org/W1571518467","https://openalex.org/W87991986","https://openalex.org/W2020291234","https://openalex.org/W2386387936","https://openalex.org/W2094520212","https://openalex.org/W2001850503","https://openalex.org/W1576801573","https://openalex.org/W2012009941","https://openalex.org/W2778699561","https://openalex.org/W2006341020"],"abstract_inverted_index":{"Semantic":[0],"communications":[1,170],"could":[2],"improve":[3,64],"the":[4,10,22,27,33,36,41,65,73,93,99,111,119,154,168,177,201],"transmission":[5,150],"efficiency":[6],"significantly":[7],"by":[8,84,103],"exploring":[9],"semantic":[11,28,37,53],"information.":[12],"In":[13,61],"this":[14],"paper,":[15],"we":[16,47,126,140],"make":[17],"an":[18,81],"effort":[19],"to":[20,63,97,107,117,131,152,196],"recover":[21],"transmitted":[23],"speech":[24,57,69,101,178,189],"signals":[25,179],"in":[26,115,143,157,171,174,200],"communication":[29,54],"systems,":[30],"which":[31],"minimizes":[32],"error":[34],"at":[35],"level":[38],"rather":[39],"than":[40],"bit":[42],"or":[43],"symbol":[44],"level.":[45],"Particularly,":[46],"design":[48],"a":[49,86,128],"deep":[50],"learning":[51],"(DL)-enabled":[52],"system":[55],"for":[56,72,122],"signals,":[58,70],"named":[59],"DeepSC-S.":[60],"order":[62,116],"recovery":[66],"accuracy":[67],"of":[68,176,188],"especially":[71,199],"essential":[74,100],"information,":[75],"DeepSC-S":[76,121,142,166,192],"is":[77,96,193],"developed":[78],"based":[79],"on":[80],"attention":[82,94],"mechanism":[83,95],"utilizing":[85],"squeeze-and-excitation":[87],"(SE)":[88],"network.":[89,113],"The":[90,159],"motivation":[91],"behind":[92],"identify":[98],"information":[102],"providing":[104],"higher":[105],"weights":[106],"them":[108],"when":[109],"training":[110],"neural":[112],"Moreover,":[114],"facilitate":[118],"proposed":[120,165],"dynamic":[123],"channel":[124,135,197],"environments,":[125],"find":[127],"general":[129],"model":[130,155],"cope":[132],"with":[133],"various":[134],"conditions":[136],"without":[137],"retraining.":[138],"Furthermore,":[139],"investigate":[141],"telephone":[144],"systems":[145,151],"as":[146,148,182],"well":[147],"multimedia":[149],"verify":[153],"adaptation":[156],"practice.":[158],"simulation":[160],"results":[161],"demonstrate":[162],"that":[163],"our":[164],"outperforms":[167],"traditional":[169],"both":[172],"cases":[173],"terms":[175],"metrics,":[180],"such":[181],"signal-to-distortion":[183],"ration":[184],"and":[185],"perceptual":[186],"evaluation":[187],"distortion.":[190],"Besides,":[191],"more":[194],"robust":[195],"variations,":[198],"low":[202],"signal-to-noise":[203],"(SNR)":[204],"regime.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":20},{"year":2025,"cited_by_count":195},{"year":2024,"cited_by_count":162},{"year":2023,"cited_by_count":137},{"year":2022,"cited_by_count":64},{"year":2021,"cited_by_count":8}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
