{"id":"https://openalex.org/W3200151955","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533504","title":"Boost Transformer with BERT and copying mechanism for ASR error correction","display_name":"Boost Transformer with BERT and copying mechanism for ASR error correction","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200151955","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533504","mag":"3200151955"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5028708692","display_name":"Wenkun Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenkun Li","raw_affiliation_strings":["Research & Development Center Toshiba, China,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research & Development Center Toshiba, China,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052007289","display_name":"Hui Di","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Di","raw_affiliation_strings":["Research & Development Center Toshiba, China,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research & Development Center Toshiba, China,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056155495","display_name":"Lina Wang","orcid":"https://orcid.org/0000-0001-8085-1312"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lina Wang","raw_affiliation_strings":["Research & Development Center Toshiba, China,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research & Development Center Toshiba, China,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017058806","display_name":"Kazushige Ouchi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazushige Ouchi","raw_affiliation_strings":["Research & Development Center Toshiba, China,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research & Development Center Toshiba, China,Beijing,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060160101","display_name":"Jing L\u00fc","orcid":"https://orcid.org/0000-0003-4514-0544"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Lu","raw_affiliation_strings":["Research & Development Center Toshiba, China,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research & Development Center Toshiba, China,Beijing,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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/computer-science","display_name":"Computer science","score":0.8313934803009033},{"id":"https://openalex.org/keywords/copying","display_name":"Copying","score":0.746380627155304},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6952871084213257},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6642524003982544},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5895384550094604},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5651911497116089},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5429470539093018},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.5056910514831543},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4868849813938141},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4704538583755493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45823127031326294},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.4371867775917053},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38081201910972595},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15542727708816528},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.10378828644752502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8313934803009033},{"id":"https://openalex.org/C2779151265","wikidata":"https://www.wikidata.org/wiki/Q1156791","display_name":"Copying","level":2,"score":0.746380627155304},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6952871084213257},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6642524003982544},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5895384550094604},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5651911497116089},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5429470539093018},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.5056910514831543},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4868849813938141},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4704538583755493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45823127031326294},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.4371867775917053},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38081201910972595},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15542727708816528},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.10378828644752502},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1633171621","https://openalex.org/W2041670430","https://openalex.org/W2507739667","https://openalex.org/W2606974598","https://openalex.org/W2785918467","https://openalex.org/W2860591049","https://openalex.org/W2893527548","https://openalex.org/W2896457183","https://openalex.org/W2914120296","https://openalex.org/W2916997151","https://openalex.org/W2962739339","https://openalex.org/W2962784628","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963881719","https://openalex.org/W2964165364","https://openalex.org/W2970049541","https://openalex.org/W2994928925","https://openalex.org/W3006381853","https://openalex.org/W3015752032","https://openalex.org/W3098903812","https://openalex.org/W3105804405","https://openalex.org/W4292779060","https://openalex.org/W4294309260","https://openalex.org/W4385245566","https://openalex.org/W6636743836","https://openalex.org/W6739901393","https://openalex.org/W6750439707","https://openalex.org/W6755207826","https://openalex.org/W6759455113","https://openalex.org/W6769729509","https://openalex.org/W6771713106","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W1566315437","https://openalex.org/W2151348424","https://openalex.org/W4221142855","https://openalex.org/W2594897229","https://openalex.org/W4290708361","https://openalex.org/W2050138804","https://openalex.org/W767271433","https://openalex.org/W2129812225","https://openalex.org/W2523799048","https://openalex.org/W1507733787"],"abstract_inverted_index":{"The":[0],"accuracy":[1,24],"of":[2],"Automatic":[3],"Speech":[4],"Recognition":[5],"(ASR)":[6],"is":[7],"critical":[8],"to":[9,21,40,85,127],"speech-based":[10],"products,":[11],"such":[12],"as":[13],"subtitling,":[14],"speech":[15],"translation,":[16],"spoken":[17],"dialogue.":[18],"We":[19,96],"aim":[20],"enhance":[22],"ASR":[23,29,43,70,82,108,131],"by":[25,46,139],"correcting":[26],"errors":[27],"in":[28,52,57,69],"hypothesis":[30,132],"with":[31,130],"sequence-to-sequence":[32],"(seq2seq)":[33],"models.":[34],"In":[35,73],"this":[36],"paper,":[37],"we":[38,75],"propose":[39],"boost":[41],"Transformer-based":[42,137],"error":[44],"correction":[45],"fusing":[47],"the":[48,87,92,115,119],"pre-trained":[49],"BERT":[50],"[1]":[51],"encoder":[53],"and":[54,65,81,90,105,135],"copying":[55,66],"mechanism":[56],"decoder,":[58],"which":[59],"exploits":[60],"externally":[61],"well-learned":[62],"token":[63],"representation":[64],"correct":[67],"tokens":[68],"transcript":[71],"respectively.":[72],"addition,":[74],"leverage":[76],"Text-to-Speech":[77],"(TTS)":[78],"synthesized":[79],"data":[80,89,93],"5-best":[83],"hypotheses":[84],"augment":[86],"training":[88],"make":[91],"more":[94],"diverse.":[95],"evaluate":[97],"our":[98],"approach":[99,117],"on":[100],"two":[101,106],"internal":[102],"test":[103,109],"sets":[104],"public":[107],"sets.":[110],"Experimental":[111],"results":[112],"show":[113],"that":[114],"proposed":[116],"decreases":[118],"average":[120],"Character":[121],"Error":[122],"Rate":[123],"(CER)":[124],"from":[125],"9.36%":[126],"7.30%":[128],"compared":[129],"without":[133],"correction,":[134],"outperforms":[136],"model":[138],"a":[140],"large":[141],"margin.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}