{"id":"https://openalex.org/W4413321612","doi":"https://doi.org/10.1109/cog64752.2025.11114204","title":"Game-Oriented ASR Error Correction via RAG-Enhanced LLM","display_name":"Game-Oriented ASR Error Correction via RAG-Enhanced LLM","publication_year":2025,"publication_date":"2025-08-19","ids":{"openalex":"https://openalex.org/W4413321612","doi":"https://doi.org/10.1109/cog64752.2025.11114204"},"language":"en","primary_location":{"id":"doi:10.1109/cog64752.2025.11114204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog64752.2025.11114204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Conference on Games (CoG)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.23630","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100369184","display_name":"Yan Jiang","orcid":"https://orcid.org/0000-0003-2895-3789"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Jiang","raw_affiliation_strings":["Tencent Games"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Games","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yongle Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongle Luo","raw_affiliation_strings":["Tencent Games"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Games","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qinxian Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinxian Zhou","raw_affiliation_strings":["Tencent Games"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Games","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048485159","display_name":"Elvis S. Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Elvis S. Liu","raw_affiliation_strings":["Tencent Games"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Games","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100369184"],"corresponding_institution_ids":["https://openalex.org/I2250653659"],"apc_list":null,"apc_paid":null,"fwci":1.0626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80008129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9801999926567078,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9801999926567078,"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/computer-science","display_name":"Computer science","score":0.6920996308326721},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.5331023931503296},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37348344922065735},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2408900260925293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6920996308326721},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.5331023931503296},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37348344922065735},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2408900260925293}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cog64752.2025.11114204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog64752.2025.11114204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Conference on Games (CoG)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2509.23630","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.23630","pdf_url":"https://arxiv.org/pdf/2509.23630","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.23630","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.23630","pdf_url":"https://arxiv.org/pdf/2509.23630","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1904457459","https://openalex.org/W2507739667","https://openalex.org/W3015752032","https://openalex.org/W3200151955","https://openalex.org/W4385822949","https://openalex.org/W4391021505","https://openalex.org/W4402112487","https://openalex.org/W4404783466","https://openalex.org/W4408345625","https://openalex.org/W4408565363"],"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":{"With":[0],"the":[1,5,9,66,97,102,117,128,138,179,194,198,205,221,225,234,246,251],"rapid":[2,76],"development":[3],"of":[4,12,69,104,119,141,183,190,253],"gaming":[6,41,62,99,123,161,258],"industry":[7],"and":[8,27,80,94,146,181,204,233],"increasing":[10,91],"popularity":[11],"multiplayer":[13],"online":[14],"games,":[15],"realtime":[16],"voice":[17,44],"communication":[18,50,92],"has":[19],"become":[20],"a":[21,36,153,166],"crucial":[22],"tool":[23],"for":[24],"team":[25],"collaboration":[26],"tactical":[28],"exchanges.":[29],"Automatic":[30],"Speech":[31],"Recognition":[32],"(ASR)":[33],"technology":[34],"plays":[35],"vital":[37],"role":[38],"in":[39,61,122,257],"modern":[40],"by":[42,211,230,239],"converting":[43],"commands":[45],"into":[46],"text,":[47],"enabling":[48],"efficient":[49],"among":[51],"players.":[52],"However,":[53],"existing":[54],"general-purpose":[55],"ASR":[56,106,120,131,254],"systems":[57,121],"face":[58],"significant":[59],"challenges":[60,118,252],"scenarios":[63],"due":[64],"to":[65,87,157,160,177,218],"unique":[67],"characteristics":[68],"in-game":[70],"communication,":[71],"such":[72],"as":[73],"short":[74],"phrases,":[75],"speech,":[77],"game-specific":[78,184],"jargon,":[79],"environmental":[81],"noise.":[82],"These":[83,242],"limitations":[84],"often":[85],"lead":[86],"frequent":[88],"recognition":[89],"errors,":[90],"costs":[93],"negatively":[95],"impacting":[96],"overall":[98],"experience.":[100],"Furthermore,":[101],"scarcity":[103],"domainspecific":[105],"training":[107],"data":[108,167,195],"exacerbates":[109],"these":[110],"issues,":[111],"hindering":[112],"system":[113],"optimization.":[114],"To":[115],"address":[116],"scenarios,":[124],"this":[125],"study":[126],"proposes":[127],"GO-AEC":[129,187,247],"(Gaming-Oriented":[130],"Error":[132],"Correction)":[133],"framework.":[134],"The":[135,186],"framework":[136,188,223,248],"leverages":[137],"generative":[139],"capabilities":[140],"large":[142],"language":[143],"models":[144],"(LLMs)":[145],"employs":[147],"Retrieval-Augmented":[148],"Generation":[149],"(RAG)":[150],"techniques":[151,176],"with":[152,173],"gamespecific":[154],"knowledge":[155,207],"base":[156,208],"better":[158],"adapt":[159],"environments.":[162],"Additionally,":[163],"we":[164],"introduce":[165],"augmentation":[168,196],"strategy":[169],"that":[170,245],"combines":[171],"LLMs":[172],"text-to-speech":[174],"(TTS)":[175],"enhance":[178],"diversity":[180],"robustness":[182],"datasets.":[185],"consists":[189],"three":[191],"key":[192],"modules:":[193],"module,":[197,203],"N-best":[199],"hypothesis-based":[200],"LLM":[201],"correction":[202,256],"dynamic":[206],"module":[209],"powered":[210],"RAG.":[212],"Experimental":[213],"results":[214],"demonstrate":[215],"that,":[216],"compared":[217],"baseline":[219],"methods,":[220],"proposed":[222],"reduces":[224],"character":[226],"error":[227,236,255],"rate":[228,237],"(CER)":[229],"6.22":[231],"%":[232],"sentence":[235],"(SER)":[238],"29.71":[240],"%.":[241],"findings":[243],"indicate":[244],"effectively":[249],"addresses":[250],"scenarios.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
