{"id":"https://openalex.org/W3023363593","doi":"https://doi.org/10.1109/access.2020.2990974","title":"EdgeRNN: A Compact Speech Recognition Network With Spatio-Temporal Features for Edge Computing","display_name":"EdgeRNN: A Compact Speech Recognition Network With Spatio-Temporal Features for Edge Computing","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3023363593","doi":"https://doi.org/10.1109/access.2020.2990974","mag":"3023363593"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2990974","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990974","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09081948.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09081948.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072540443","display_name":"Shunzhi Yang","orcid":"https://orcid.org/0000-0003-0621-2525"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunzhi Yang","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101593687","display_name":"Zheng Gong","orcid":"https://orcid.org/0000-0002-1794-816X"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Gong","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1794-816X","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420888","display_name":"Kai Ye","orcid":"https://orcid.org/0000-0003-4696-3948"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Ye","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067773233","display_name":"Yungen Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yungen Wei","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049015061","display_name":"Zhenhua Huang","orcid":"https://orcid.org/0000-0001-8659-4062"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Huang","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China","School of Information Security Engineering, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8659-4062","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"School of Information Security Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103055957","display_name":"Zheng Huang","orcid":"https://orcid.org/0009-0003-2994-8030"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Huang","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China","School of Information Security Engineering, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"School of Information Security Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":7.2756,"has_fulltext":true,"cited_by_count":62,"citation_normalized_percentile":{"value":0.98100754,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"81468","last_page":"81478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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":0.9991999864578247,"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":0.9991999864578247,"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":0.819790780544281},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6731773614883423},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6329114437103271},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4883822798728943},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.47903385758399963},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4778063893318176},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46906065940856934},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4673011302947998},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.45515674352645874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45226871967315674},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4504221975803375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3687386214733124}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.819790780544281},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6731773614883423},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6329114437103271},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4883822798728943},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.47903385758399963},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4778063893318176},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46906065940856934},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4673011302947998},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.45515674352645874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45226871967315674},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4504221975803375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3687386214733124},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2990974","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990974","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09081948.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:562c0e8b1a0540a5be8ac2f3396a2d8e","is_oa":true,"landing_page_url":"https://doaj.org/article/562c0e8b1a0540a5be8ac2f3396a2d8e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 81468-81478 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2990974","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990974","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09081948.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3293819701","display_name":null,"funder_award_id":"61572028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7168613088","display_name":null,"funder_award_id":"201802010044","funder_id":"https://openalex.org/F4320335480","funder_display_name":"Guangzhou Municipal Science and Technology Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335480","display_name":"Guangzhou Municipal Science and Technology Project","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3023363593.pdf","grobid_xml":"https://content.openalex.org/works/W3023363593.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1598866093","https://openalex.org/W2064675550","https://openalex.org/W2146334809","https://openalex.org/W2157331557","https://openalex.org/W2191779130","https://openalex.org/W2407023693","https://openalex.org/W2416799949","https://openalex.org/W2612445135","https://openalex.org/W2766839578","https://openalex.org/W2767663688","https://openalex.org/W2769912137","https://openalex.org/W2786008273","https://openalex.org/W2797583228","https://openalex.org/W2883780447","https://openalex.org/W2888704015","https://openalex.org/W2889717020","https://openalex.org/W2902554997","https://openalex.org/W2903646448","https://openalex.org/W2904938641","https://openalex.org/W2918456911","https://openalex.org/W2937154351","https://openalex.org/W2937977583","https://openalex.org/W2939764705","https://openalex.org/W2944817175","https://openalex.org/W2945536471","https://openalex.org/W2950865323","https://openalex.org/W2955358972","https://openalex.org/W2963032572","https://openalex.org/W2963071736","https://openalex.org/W2963446712","https://openalex.org/W2963993763","https://openalex.org/W2964187693","https://openalex.org/W2964250984","https://openalex.org/W2965721486","https://openalex.org/W2970413753","https://openalex.org/W2973037561","https://openalex.org/W2973126236","https://openalex.org/W2976712796","https://openalex.org/W2999127310","https://openalex.org/W4297775537","https://openalex.org/W4385245566","https://openalex.org/W6635810480","https://openalex.org/W6714171909","https://openalex.org/W6737664043","https://openalex.org/W6739901393","https://openalex.org/W6745499037","https://openalex.org/W6746451879","https://openalex.org/W6748015549","https://openalex.org/W6750665317","https://openalex.org/W6753767121","https://openalex.org/W6768872360"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W2964335273","https://openalex.org/W1889624880","https://openalex.org/W2229372569"],"abstract_inverted_index":{"Driven":[0],"by":[1],"the":[2,23,44,78,87,99,107,120,123,128,155,181,185,193],"vision":[3],"of":[4,6,18,25,38,47,82,86,102,106,122,134,177,184,195,202],"Internet":[5],"Things,":[7],"some":[8],"research":[9],"efforts":[10],"have":[11,197],"already":[12],"focused":[13],"on":[14,139,189,200],"designing":[15],"a":[16,54,114,172],"network":[17,58,124],"efficient":[19,187],"speech":[20,56,140,151,203],"recognition":[21,57,164],"for":[22,62],"development":[24],"edge":[26,63],"computing.":[27],"Other":[28],"researches":[29],"(such":[30],"as":[31],"tpool2)":[32],"do":[33],"not":[34],"make":[35],"full":[36],"use":[37],"spatial":[39,80],"and":[40,142,154,205],"temporal":[41,100],"information":[42,81,101],"in":[43,150],"acoustic":[45,88,108],"features":[46,61],"speech.":[48],"In":[49,110],"this":[50],"paper,":[51],"we":[52,112],"propose":[53,113],"compact":[55],"with":[59,171,180],"spatio-temporal":[60],"computing,":[64],"named":[65],"EdgeRNN.":[66],"Alternatively,":[67],"EdgeRNN":[68,135,196],"uses":[69,165],"1-Dimensional":[70],"Convolutional":[71],"Neural":[72,92],"Network":[73,93],"(1-D":[74],"CNN)":[75],"to":[76,97,118,127],"process":[77,98],"overall":[79,132],"each":[83,103],"frequency":[84,104],"domain":[85,105],"features.":[89,109],"A":[90],"Recurrent":[91],"(RNN)":[94],"is":[95,148],"used":[96,149],"addition,":[111],"simplified":[115],"attention":[116],"mechanism":[117],"enhance":[119],"portion":[121],"that":[125],"contributes":[126],"final":[129],"identification.":[130],"The":[131,145],"performance":[133],"has":[136],"been":[137,198],"verified":[138],"emotion":[141,152,204],"keywords":[143,163,206],"recognition.":[144,207],"IEMOCAP":[146],"dataset":[147],"recognition,":[153],"unweighted":[156],"average":[157,174],"recall":[158,175],"(UAR)":[159],"reaches":[160],"63.98%.":[161],"Speech":[162,167],"Google's":[166],"Commands":[168],"Datasets":[169],"V1":[170],"weighted":[173],"(WAR)":[176],"96.82%.":[178],"Compared":[179],"experimental":[182],"results":[183],"related":[186],"networks":[188],"Raspberry":[190],"Pi":[191],"3B+,":[192],"accuracies":[194],"improved":[199],"both":[201]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":15}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
