{"id":"https://openalex.org/W4392943909","doi":"https://doi.org/10.1109/iceic61013.2024.10457220","title":"Improving ASR Performance with OCR Through Using Word Frequency Difference","display_name":"Improving ASR Performance with OCR Through Using Word Frequency Difference","publication_year":2024,"publication_date":"2024-01-28","ids":{"openalex":"https://openalex.org/W4392943909","doi":"https://doi.org/10.1109/iceic61013.2024.10457220"},"language":"en","primary_location":{"id":"doi:10.1109/iceic61013.2024.10457220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic61013.2024.10457220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5088896521","display_name":"Kyudan Jung","orcid":"https://orcid.org/0000-0002-5657-7533"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kyudan Jung","raw_affiliation_strings":["Chung-Ang University"],"affiliations":[{"raw_affiliation_string":"Chung-Ang University","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113296005","display_name":"Seungmin Bae","orcid":"https://orcid.org/0009-0008-7626-9547"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungmin Bae","raw_affiliation_strings":["Seoul National University"],"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020682867","display_name":"Nam Joon Kim","orcid":"https://orcid.org/0000-0001-8217-8037"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nam Joon Kim","raw_affiliation_strings":["Seoul National University"],"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023354297","display_name":"Hyun Gon Ryu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hyun Gon Ryu","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024723558","display_name":"Hyuk\u2010Jae Lee","orcid":"https://orcid.org/0000-0001-6811-9647"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyuk-Jae Lee","raw_affiliation_strings":["Seoul National University"],"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088896521"],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":null,"apc_paid":null,"fwci":1.0911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79391998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9846000075340271,"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":0.9846000075340271,"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":0.7823885083198547},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6575177907943726},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5705346465110779},{"id":"https://openalex.org/keywords/word-lists-by-frequency","display_name":"Word lists by frequency","score":0.48093360662460327},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4334682822227478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35984909534454346},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09645485877990723}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7823885083198547},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6575177907943726},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5705346465110779},{"id":"https://openalex.org/C175293574","wikidata":"https://www.wikidata.org/wiki/Q697133","display_name":"Word lists by frequency","level":3,"score":0.48093360662460327},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4334682822227478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35984909534454346},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09645485877990723},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic61013.2024.10457220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic61013.2024.10457220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2964051877","https://openalex.org/W3012624518","https://openalex.org/W3015468748","https://openalex.org/W3097777922","https://openalex.org/W4372346152","https://openalex.org/W6776048684"],"related_works":["https://openalex.org/W2127709934","https://openalex.org/W1588516692","https://openalex.org/W3204019825","https://openalex.org/W2296205523","https://openalex.org/W2089917660","https://openalex.org/W1970935140","https://openalex.org/W1512024959","https://openalex.org/W2017557587","https://openalex.org/W2320411771","https://openalex.org/W4240310336"],"abstract_inverted_index":{"Recently,":[0],"there":[1],"has":[2],"been":[3],"a":[4,13,35,90],"growing":[5],"interest":[6],"in":[7,50,110],"conversational":[8],"artificial":[9],"intelligence":[10],"(AI).":[11],"As":[12],"result,":[14],"research":[15],"is":[16],"actively":[17],"being":[18],"conducted":[19],"on":[20],"automatic":[21],"speech":[22],"recognition":[23,103],"(ASR)":[24],"to":[25,74,95],"facilitate":[26],"interactions":[27],"between":[28,58],"humans":[29],"and":[30,64],"machines.":[31],"This":[32],"paper":[33],"proposes":[34],"system":[36],"that":[37,82],"enhances":[38],"ASR":[39,77],"performance.":[40,78],"The":[41,55],"proposed":[42],"method":[43],"accumulates":[44],"images":[45,63],"captured":[46,62],"from":[47,61,69],"lecture":[48],"videos":[49],"real-time":[51],"every":[52],"30":[53],"seconds.":[54],"frequency":[56],"ratios":[57],"text":[59,65],"data":[60,66],"calculated":[67],"offline":[68],"over":[70],"333K":[71],"are":[72],"used":[73,109],"improve":[75],"the":[76,83,98,102],"Experimental":[79],"results":[80],"showed":[81,112],"word":[84],"error":[85],"rate":[86,104],"(WER)":[87],"decreased":[88],"by":[89],"maximum":[91],"of":[92,115],"0.68%":[93],"compared":[94],"using":[96],"only":[97],"traditional":[99],"ASR.":[100],"Especially,":[101],"for":[105],"specialized":[106],"terms":[107],"frequently":[108],"lectures":[111],"an":[113],"improvement":[114],"64%.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
