{"id":"https://openalex.org/W4401072002","doi":"https://doi.org/10.1109/iccea62105.2024.10603996","title":"Design and Implementation of Speech Recognition Examination System for Radar Intelligence Simulation Training","display_name":"Design and Implementation of Speech Recognition Examination System for Radar Intelligence Simulation Training","publication_year":2024,"publication_date":"2024-04-12","ids":{"openalex":"https://openalex.org/W4401072002","doi":"https://doi.org/10.1109/iccea62105.2024.10603996"},"language":"en","primary_location":{"id":"doi:10.1109/iccea62105.2024.10603996","doi":"https://doi.org/10.1109/iccea62105.2024.10603996","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccea62105.2024.10603996","pdf_url":null,"source":{"id":"https://openalex.org/S4306498703","display_name":"International Conference on Computer Engineering and Application (ICCEA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2024 5th International Conference on Computer Engineering and Application (ICCEA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5100567850","display_name":"Jingjun Du","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingjun Du","raw_affiliation_strings":["Student Team-6 of The Student Brigade-2,Air Force Early Warning Academy,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Student Team-6 of The Student Brigade-2,Air Force Early Warning Academy,Wuhan,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101561578","display_name":"Zhang We","orcid":"https://orcid.org/0000-0001-6478-3110","observed_orcids":["https://orcid.org/0000-0001-6478-3110","https://orcid.org/0009-0001-6208-5359"]},"institutions":[{"id":"https://openalex.org/I4402554004","display_name":"People's Liberation Army Air Force","ror":"https://ror.org/04f13ze88","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210160531","https://openalex.org/I4402554004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Air Force Early Warning Academy,Air-Defense Early Warning Equipment Department,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy,Air-Defense Early Warning Equipment Department,Wuhan,China","institution_ids":["https://openalex.org/I4402554004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426867","display_name":"Jingjing Wang","orcid":"https://orcid.org/0000-0002-3620-6671","observed_orcids":["https://orcid.org/0000-0002-3620-6671"]},"institutions":[{"id":"https://openalex.org/I4402554004","display_name":"People's Liberation Army Air Force","ror":"https://ror.org/04f13ze88","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210160531","https://openalex.org/I4402554004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Wang","raw_affiliation_strings":["Air Force Early Warning Academy,Air-Defense Early Warning Equipment Department,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy,Air-Defense Early Warning Equipment Department,Wuhan,China","institution_ids":["https://openalex.org/I4402554004"]}]},{"author_position":"last","author":{"id":null,"display_name":"Chenggang Gu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4402554004","display_name":"People's Liberation Army Air Force","ror":"https://ror.org/04f13ze88","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210160531","https://openalex.org/I4402554004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenggang Gu","raw_affiliation_strings":["Air Force Early Warning Academy,Air-Defense Early Warning Equipment Department,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy,Air-Defense Early Warning Equipment Department,Wuhan,China","institution_ids":["https://openalex.org/I4402554004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1527,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.33019144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"400","last_page":"404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9970999956130981,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9970999956130981,"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/T12031","display_name":"Speech and dialogue systems","score":0.0006000000284984708,"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/T14270","display_name":"Simulation and Modeling Applications","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/speech-recognition","display_name":"speech recognition","score":0.9620000123977661},{"id":"https://openalex.org/keywords/automatic-scoring","display_name":"automatic scoring","score":0.7179999947547913},{"id":"https://openalex.org/keywords/acoustic-modeling","display_name":"acoustic modeling","score":0.5709999799728394},{"id":"https://openalex.org/keywords/sliding-window-algorithm","display_name":"sliding window algorithm","score":0.9120000004768372},{"id":"https://openalex.org/keywords/military-training-simulation","display_name":"military training simulation","score":0.3869999945163727},{"id":"https://openalex.org/keywords/pyqt","display_name":"PyQt","score":0.5450000166893005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.707036018371582},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6401959657669067},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.512390673160553},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4902990162372589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3260398507118225},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12361735105514526},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"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/iccea62105.2024.10603996","doi":"https://doi.org/10.1109/iccea62105.2024.10603996","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccea62105.2024.10603996","pdf_url":null,"source":{"id":"https://openalex.org/S4306498703","display_name":"International Conference on Computer Engineering and Application (ICCEA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2024 5th International Conference on Computer Engineering and Application (ICCEA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2348897524","https://openalex.org/W2378464312","https://openalex.org/W2904468584","https://openalex.org/W2359191410","https://openalex.org/W3197282260","https://openalex.org/W2390697524","https://openalex.org/W3005887270","https://openalex.org/W2041636239","https://openalex.org/W4321847012","https://openalex.org/W1982006748"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,171],"solve":[3],"the":[4,44,79,89,99,103,111,119,122,128,136,142,151,156,166,184,192,199],"problems":[5],"of":[6,121,144,186,194],"poor":[7],"speech":[8,33,62,93,123,145,174],"recognition":[9,34,63,94,124],"performance,":[10],"low":[11],"accuracy,":[12,177],"difficulty":[13],"in":[14,22],"manual":[15],"grade":[16],"evaluation,":[17,180],"and":[18,65,83,102,158,178,190],"long":[19],"training":[20,27,41,48,59,85,189,197],"time":[21],"current":[23],"radar":[24,38,45,58,84,187,195],"intelligence":[25,39,46,188,196],"simulation":[26,40,47],"software,":[28],"this":[29],"article":[30],"designs":[31],"a":[32,53,57,61],"examination":[35],"system":[36,51,54,80,167],"for":[37],"based":[42,109],"on":[43,98,110,117],"process;":[49],"The":[50,70,92],"includes":[52],"login":[55,81],"module,":[56,60,64],"an":[66],"automatic":[67,104,153],"scoring":[68,105,154],"module;":[69],"overall":[71],"development":[72],"is":[73,107],"carried":[74],"out":[75],"using":[76,88,155],"Python,":[77],"with":[78],"module":[82,86,95,106,125],"mainly":[87,96],"PyQt":[90],"library.":[91,113],"relies":[97],"tensorflow":[100],"library,":[101],"implemented":[108,150],"math":[112],"We":[114,147],"have":[115,148,172],"focused":[116],"improving":[118],"design":[120],"by":[126],"introducing":[127],"Feed":[129],"Forward":[130],"Deep":[131],"Neural":[132],"Network":[133],"(FFDNN)":[134],"into":[135],"acoustic":[137],"model":[138],"modeling,":[139],"which":[140,181],"improves":[141],"accuracy":[143],"recognition.":[146],"also":[149],"system's":[152],"left":[157],"right":[159],"sliding":[160],"window":[161],"algorithm;":[162],"Through":[163],"practical":[164],"verification,":[165],"has":[168],"been":[169],"proven":[170],"accurate":[173,179],"recognition,":[175],"high":[176],"can":[182],"meet":[183],"needs":[185],"improve":[191],"effectiveness":[193],"under":[198],"aircraft.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2024-07-31T00:00:00"}