{"id":"https://openalex.org/W4210330825","doi":"https://doi.org/10.1109/globecom46510.2021.9685250","title":"Semantic Communications for Speech Recognition","display_name":"Semantic Communications for Speech Recognition","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4210330825","doi":"https://doi.org/10.1109/globecom46510.2021.9685250"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685250","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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 Global Communications Conference (GLOBECOM)","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/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":["Queen Mary University of London,London,UK","Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,London,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","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":["Queen Mary University of London,London,UK","Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,London,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039289964","display_name":"Geoffrey Ye Li","orcid":"https://orcid.org/0000-0002-7894-2415"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Geoffrey Ye Li","raw_affiliation_strings":["Imperial College London,London,UK","Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London,London,UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059580638"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":4.6964,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.96035487,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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":0.9991999864578247,"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/T10860","display_name":"Speech and Audio Processing","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8616040945053101},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.605812668800354},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.5124021172523499},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5093206167221069},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.5063954591751099},{"id":"https://openalex.org/keywords/communications-system","display_name":"Communications system","score":0.49794840812683105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3799974322319031},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.2688898742198944},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15164032578468323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8616040945053101},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.605812668800354},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.5124021172523499},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5093206167221069},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.5063954591751099},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.49794840812683105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3799974322319031},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.2688898742198944},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15164032578468323}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685250","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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 Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/85758","is_oa":false,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/85758","pdf_url":null,"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":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6000000238418579,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2060108852","https://openalex.org/W2127141656","https://openalex.org/W2131774270","https://openalex.org/W2165291881","https://openalex.org/W2193413348","https://openalex.org/W2284321898","https://openalex.org/W2615762555","https://openalex.org/W2616867685","https://openalex.org/W2734408173","https://openalex.org/W2736068844","https://openalex.org/W2886374543","https://openalex.org/W2893836673","https://openalex.org/W2946889564","https://openalex.org/W2948427854","https://openalex.org/W2963000651","https://openalex.org/W2963190722","https://openalex.org/W2993383518","https://openalex.org/W3005526854","https://openalex.org/W3016715915","https://openalex.org/W3036851434","https://openalex.org/W3047573586","https://openalex.org/W3113050802","https://openalex.org/W3166791908","https://openalex.org/W6687566353"],"related_works":["https://openalex.org/W2502435347","https://openalex.org/W191108438","https://openalex.org/W3135230428","https://openalex.org/W2904739811","https://openalex.org/W249088392","https://openalex.org/W2152158029","https://openalex.org/W2012540220","https://openalex.org/W2131711534","https://openalex.org/W2559837139","https://openalex.org/W1151175420"],"abstract_inverted_index":{"The":[0,141],"traditional":[1,151],"communications":[2],"transmit":[3,46,104],"all":[4],"the":[5,13,18,23,29,35,47,70,97,101,108,120,150,157,175],"source":[6,16,36,109],"date":[7],"represented":[8],"by":[9,22,68],"bits,":[10],"regardless":[11],"of":[12,15,34,156],"content":[14],"and":[17,91,164,166],"semantic":[19,41,62,82,94],"information":[20],"required":[21],"receiver.":[24],"However,":[25],"in":[26,116,154,174],"some":[27],"applications,":[28],"receiver":[30],"only":[31],"needs":[32],"part":[33],"data":[37,111],"that":[38,145],"represents":[39],"critical":[40],"information,":[42,49],"which":[43,99],"prompts":[44],"to":[45,89,103,118,132,170],"application-related":[48],"especially":[50,173],"when":[51],"bandwidth":[52],"resources":[53],"are":[54],"limited.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59,127],"consider":[60],"a":[61,78,129],"communication":[63,83,152],"system":[64,102],"for":[65,123],"speech":[66,110,158],"recognition":[67,159],"designing":[69],"transceiver":[71],"as":[72,162],"an":[73],"end-to-end":[74],"(E2E)":[75],"system.":[76],"Particularly,":[77],"deep":[79],"learning":[80],"(DL)-enabled":[81],"system,":[84],"named":[85],"DeepSC-SR,":[86],"is":[87,167],"developed":[88],"learn":[90],"extract":[92],"text-related":[93],"features":[95],"at":[96],"transmitter,":[98],"motivates":[100],"much":[105],"less":[106],"than":[107],"without":[112,138],"performance":[113],"degradation.":[114],"Moreover,":[115],"order":[117],"facilitate":[119],"proposed":[121,147],"DeepSC-SR":[122,148],"dynamic":[124],"channel":[125,136,171],"environments,":[126],"investigate":[128],"robust":[130,169],"model":[131],"cope":[133],"with":[134],"various":[135],"environments":[137],"requiring":[139],"retraining.":[140],"simulation":[142],"results":[143],"demonstrate":[144],"our":[146],"outperforms":[149],"systems":[153],"terms":[155],"metrics,":[160],"such":[161],"character-error-rate":[163],"word-error-rate,":[165],"more":[168],"variations,":[172],"low":[176],"signal-to-noise":[177],"(SNR)":[178],"regime.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
