{"id":"https://openalex.org/W7148430238","doi":"https://doi.org/10.1109/asru65441.2025.11434614","title":"TurboBias: Universal ASR Context-Biasing powered by GPU-accelerated Phrase-Boosting Tree","display_name":"TurboBias: Universal ASR Context-Biasing powered by GPU-accelerated Phrase-Boosting Tree","publication_year":2025,"publication_date":"2025-12-06","ids":{"openalex":"https://openalex.org/W7148430238","doi":"https://doi.org/10.1109/asru65441.2025.11434614"},"language":null,"primary_location":{"id":"doi:10.1109/asru65441.2025.11434614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru65441.2025.11434614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","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/A5054253945","display_name":"Andrei Andrusenko","orcid":"https://orcid.org/0000-0002-8697-832X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Andrei Andrusenko","raw_affiliation_strings":["NVIDIA,Yerevan,Armenia"],"affiliations":[{"raw_affiliation_string":"NVIDIA,Yerevan,Armenia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132811057","display_name":"Vladimir Bataev","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vladimir Bataev","raw_affiliation_strings":["NVIDIA,Yerevan,Armenia"],"affiliations":[{"raw_affiliation_string":"NVIDIA,Yerevan,Armenia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132791755","display_name":"Lilit Grigoryan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lilit Grigoryan","raw_affiliation_strings":["NVIDIA,Yerevan,Armenia"],"affiliations":[{"raw_affiliation_string":"NVIDIA,Yerevan,Armenia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026088310","display_name":"Vitaly Lavrukhin","orcid":"https://orcid.org/0009-0006-7866-8301"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vitaly Lavrukhin","raw_affiliation_strings":["NVIDIA,Santa Clara,USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA,Santa Clara,USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032957280","display_name":"Boris Ginsburg","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boris Ginsburg","raw_affiliation_strings":["NVIDIA,Santa Clara,USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA,Santa Clara,USA","institution_ids":["https://openalex.org/I4210127875"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054253945"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4014,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9350588,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.909500002861023,"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":0.909500002861023,"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":0.011099999770522118,"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/T12031","display_name":"Speech and dialogue systems","score":0.008999999612569809,"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/decoding-methods","display_name":"Decoding methods","score":0.8174999952316284},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7567999958992004},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6151999831199646},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5414999723434448},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5411999821662903},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.46059998869895935}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8174999952316284},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7567999958992004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6916000247001648},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6151999831199646},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5414999723434448},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5411999821662903},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5299999713897705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4632999897003174},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.46059998869895935},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C19889080","wikidata":"https://www.wikidata.org/wiki/Q2835852","display_name":"Beam search","level":3,"score":0.34869998693466187},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3400999903678894},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3176000118255615},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C60448319","wikidata":"https://www.wikidata.org/wiki/Q154021","display_name":"Block cipher mode of operation","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2639000117778778},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26159998774528503}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru65441.2025.11434614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru65441.2025.11434614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5217189192771912}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2099964107","https://openalex.org/W2127141656","https://openalex.org/W2327501763","https://openalex.org/W2886319145","https://openalex.org/W2962760690","https://openalex.org/W2962784628","https://openalex.org/W2972625221","https://openalex.org/W3095311338","https://openalex.org/W3097794466","https://openalex.org/W3197674197","https://openalex.org/W3198004110","https://openalex.org/W3203701724","https://openalex.org/W4385822476","https://openalex.org/W4388017359","https://openalex.org/W4391021542","https://openalex.org/W4391021623","https://openalex.org/W4392902568","https://openalex.org/W4402111558","https://openalex.org/W4402111732","https://openalex.org/W4402111987","https://openalex.org/W4402112174","https://openalex.org/W4402112258","https://openalex.org/W4406461867","https://openalex.org/W4412886866","https://openalex.org/W4415433345","https://openalex.org/W4415433485","https://openalex.org/W7148604914"],"related_works":[],"abstract_inverted_index":{"Recognizing":[0],"specific":[1],"key":[2,99],"phrases":[3,100],"is":[4,65,130],"an":[5],"essential":[6],"task":[7],"for":[8,83],"contextualized":[9],"Automatic":[10],"Speech":[11],"Recognition":[12],"(ASR).":[13],"However,":[14],"most":[15],"existing":[16],"context-biasing":[17,50,120,128],"approaches":[18,121],"have":[19],"limitations":[20],"associated":[21],"with":[22,94],"the":[23,32,37,40,113,117,136],"necessity":[24],"of":[25,39,98,112,135],"additional":[26],"model":[27],"training,":[28],"significantly":[29],"slow":[30],"down":[31],"decoding":[33,88,125],"process,":[34],"or":[35],"constrain":[36],"choice":[38],"ASR":[41,49],"system":[42],"type.":[43],"This":[44],"paper":[45],"proposes":[46],"a":[47,68,95,133],"universal":[48],"framework":[51,64,129],"that":[52],"supports":[53],"all":[54],"major":[55],"types:":[56],"CTC,":[57],"Transducers,":[58],"and":[59,85,124],"Attention":[60],"Encoder-Decoder":[61],"models.":[62],"The":[63,106],"based":[66],"on":[67],"GPU-accelerated":[69],"word":[70],"boosting":[71],"tree,":[72],"which":[73],"enables":[74],"it":[75],"to":[76,102],"be":[77],"used":[78],"in":[79,122],"shallow":[80],"fusion":[81],"mode":[82],"greedy":[84],"beam":[86],"search":[87],"without":[89],"noticeable":[90],"speed":[91],"degradation,":[92],"even":[93],"vast":[96],"number":[97],"(up":[101],"20":[103],"K":[104],"items).":[105],"obtained":[107],"results":[108],"showed":[109],"high":[110],"efficiency":[111],"proposed":[114],"method,":[115],"surpassing":[116],"considered":[118],"open-source":[119],"accuracy":[123],"speed.":[126],"Our":[127],"open-sourced":[131],"as":[132],"part":[134],"NeMo":[137],"toolkit.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-03T16:44:17.987007","created_date":"2026-04-03T00:00:00"}