{"id":"https://openalex.org/W4414130680","doi":"https://doi.org/10.1142/s0218126625504821","title":"Multimodal Corpus Construction and Intelligent Speech Recognition for Enhancing English Teaching Quality","display_name":"Multimodal Corpus Construction and Intelligent Speech Recognition for Enhancing English Teaching Quality","publication_year":2025,"publication_date":"2025-09-11","ids":{"openalex":"https://openalex.org/W4414130680","doi":"https://doi.org/10.1142/s0218126625504821"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126625504821","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625504821","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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":null,"display_name":"Yu Fu","orcid":"https://orcid.org/0009-0007-6442-0556"},"institutions":[{"id":"https://openalex.org/I4210091712","display_name":"Zhengzhou University of Science and Technology","ror":"https://ror.org/00b3j7936","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091712"]},{"id":"https://openalex.org/I4210146584","display_name":"Henan Forestry Vocational College","ror":"https://ror.org/050g87e49","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210146584"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Fu","raw_affiliation_strings":["Department of Basic Education, Zhengzhou Urban Construction Vocational College, Zhengzhou 451263, Henan, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0007-6442-0556","affiliations":[{"raw_affiliation_string":"Department of Basic Education, Zhengzhou Urban Construction Vocational College, Zhengzhou 451263, Henan, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210091712","https://openalex.org/I4210146584"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636970","display_name":"Wei Zhou","orcid":"https://orcid.org/0009-0006-3754-8872"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["Hosei University, Tokyo, 102-8160, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hosei University, Tokyo, 102-8160, Japan","institution_ids":["https://openalex.org/I204291657"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12073412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"07","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12260","display_name":"Educational Technology and Pedagogy","score":0.7376999855041504,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.7376999855041504,"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/modalities","display_name":"Modalities","score":0.5999000072479248},{"id":"https://openalex.org/keywords/multimodal-learning","display_name":"Multimodal learning","score":0.5608000159263611},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.5547000169754028},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5460000038146973},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.536899983882904},{"id":"https://openalex.org/keywords/multimodal-interaction","display_name":"Multimodal interaction","score":0.4657000005245209},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4526999890804291},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.40779998898506165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7982000112533569},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5999000072479248},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.5608000159263611},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.5547000169754028},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5460000038146973},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.536899983882904},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.527999997138977},{"id":"https://openalex.org/C135641252","wikidata":"https://www.wikidata.org/wiki/Q738567","display_name":"Multimodal interaction","level":2,"score":0.4657000005245209},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4526999890804291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.445499986410141},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44519999623298645},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4187999963760376},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.40779998898506165},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.3709999918937683},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.329800009727478},{"id":"https://openalex.org/C91863865","wikidata":"https://www.wikidata.org/wiki/Q4349497","display_name":"Speech corpus","level":3,"score":0.3271999955177307},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C54953205","wikidata":"https://www.wikidata.org/wiki/Q4142201","display_name":"Speech analytics","level":4,"score":0.2816999852657318},{"id":"https://openalex.org/C504749915","wikidata":"https://www.wikidata.org/wiki/Q9010971","display_name":"Speech technology","level":3,"score":0.27149999141693115},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126625504821","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625504821","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2948012930","https://openalex.org/W3000489059","https://openalex.org/W3036851434","https://openalex.org/W3081285175","https://openalex.org/W3102125291","https://openalex.org/W3152745858","https://openalex.org/W3164509420","https://openalex.org/W3166791908","https://openalex.org/W3199651421","https://openalex.org/W3200514756","https://openalex.org/W3206039297","https://openalex.org/W3214462705","https://openalex.org/W4221153574","https://openalex.org/W4226115138","https://openalex.org/W4311897894","https://openalex.org/W4312051474","https://openalex.org/W4313350220","https://openalex.org/W4319302797","https://openalex.org/W4319985571","https://openalex.org/W4324360595","https://openalex.org/W4382319515","https://openalex.org/W4386609216","https://openalex.org/W4389677587","https://openalex.org/W4390905568","https://openalex.org/W4396955478","https://openalex.org/W4404106872"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Multimodal":[0,38],"analysis":[1],"enhances":[2],"the":[3,18,36,77,88,93,107,112,149,158,161,178,181,193,198,207,211,239],"quality":[4,240],"of":[5,96,111,160,180,188,241],"user":[6],"decisions":[7],"by":[8,22],"confirming":[9],"information":[10],"across":[11,192],"different":[12,31],"data":[13,155],"types.":[14],"Many":[15],"issues":[16],"in":[17,197,225,234,244],"world":[19],"are":[20,136],"complex":[21],"nature,":[23],"so":[24],"there":[25],"is":[26,174,228],"a":[27],"need":[28],"to":[29,33,83,138,171,230],"analyze":[30],"modalities":[32],"fully":[34],"understand":[35],"context.":[37],"intelligent":[39],"speech":[40,108,120,162],"recognition":[41,109,164],"areas":[42],"that":[43,157],"can":[44,54],"be":[45,55,231],"integrated":[46],"with":[47],"teaching":[48,222,235,243],"English,":[49],"such":[50,128],"as":[51,129],"speech-text-visual":[52],"integration,":[53],"used":[56],"for":[57,210],"better":[58],"pronunciation,":[59],"comprehension":[60],"and":[61,68,71,91,103,106,122,132,141],"attention.":[62],"It":[63],"facilitates":[64],"various":[65,150],"learning":[66,134],"modes":[67],"promotes":[69],"interactive":[70,190],"custom-made":[72],"language":[73],"teaching.":[74],"To":[75],"tackle":[76],"above":[78],"issues,":[79],"this":[80,226],"paper":[81],"intends":[82],"incorporate":[84],"depth":[85,104],"cues":[86,105,127],"into":[87],"multimodal":[89,98,116],"corpora":[90,99],"explore":[92],"construction":[94],"method":[95,110,184],"English":[97,221,242],"incorporating":[100],"electronic":[101],"images":[102],"corpus.":[113],"The":[114,144,153,186,220],"adopted":[115],"fusion":[117,199],"strategy":[118],"combines":[119],"signals":[121],"contextual":[123],"imagery":[124],"containing":[125],"essential":[126],"lip":[130],"movements,":[131],"deep":[133],"methods":[135],"utilized":[137],"capture":[139],"acoustic":[140],"visual":[142],"modalities.":[143],"result":[145],"was":[146,202,216],"analyzed":[147],"using":[148],"evaluation":[151],"parameters.":[152],"research":[154,165],"showed":[156],"accuracy":[159,179],"input":[163],"model":[166,223],"has":[167],"risen":[168],"from":[169],"71%":[170],"80.05%,":[172],"which":[173],"more":[175,203,217,232],"significant":[176],"than":[177,204,218],"traditional":[182],"static":[183],"model.":[185],"percentage":[187],"adequate":[189],"perception":[191,200],"seven":[194],"parameters":[195],"measured":[196],"module":[201,215],"96%.":[205],"Also,":[206],"success":[208],"rate":[209],"intention":[212],"multi-model":[213],"interaction":[214],"98.5%.":[219],"designed":[224],"work":[227],"shown":[229],"effective":[233],"students,":[236],"thus":[237],"improving":[238],"preschool.":[245]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}