{"id":"https://openalex.org/W4405490881","doi":"https://doi.org/10.1109/iccp63557.2024.10793032","title":"Romanian Speech-to-Text Transcription for Medical Applications","display_name":"Romanian Speech-to-Text Transcription for Medical Applications","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4405490881","doi":"https://doi.org/10.1109/iccp63557.2024.10793032"},"language":"en","primary_location":{"id":"doi:10.1109/iccp63557.2024.10793032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp63557.2024.10793032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Intelligent Computer Communication and Processing (ICCP)","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/A5115513816","display_name":"Nicolae Nitu","orcid":null},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]},{"id":"https://openalex.org/I118692353","display_name":"University of Science and Technology","ror":"https://ror.org/05bj7sh33","country_code":"YE","type":"education","lineage":["https://openalex.org/I118692353"]}],"countries":["RO","YE"],"is_corresponding":true,"raw_author_name":"Nicolae Nitu","raw_affiliation_strings":["National Univ. of Science and Technology Politehnica,Bucharest"],"affiliations":[{"raw_affiliation_string":"National Univ. of Science and Technology Politehnica,Bucharest","institution_ids":["https://openalex.org/I61641377","https://openalex.org/I118692353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061675137","display_name":"Andy C\u01cetrun\u01ce","orcid":"https://orcid.org/0000-0001-5324-0428"},"institutions":[{"id":"https://openalex.org/I118692353","display_name":"University of Science and Technology","ror":"https://ror.org/05bj7sh33","country_code":"YE","type":"education","lineage":["https://openalex.org/I118692353"]},{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO","YE"],"is_corresponding":false,"raw_author_name":"Andy Catruna","raw_affiliation_strings":["National Univ. of Science and Technology Politehnica,Bucharest"],"affiliations":[{"raw_affiliation_string":"National Univ. of Science and Technology Politehnica,Bucharest","institution_ids":["https://openalex.org/I61641377","https://openalex.org/I118692353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006093696","display_name":"Emilian R\u01cedoi","orcid":"https://orcid.org/0000-0002-1177-5288"},"institutions":[{"id":"https://openalex.org/I118692353","display_name":"University of Science and Technology","ror":"https://ror.org/05bj7sh33","country_code":"YE","type":"education","lineage":["https://openalex.org/I118692353"]},{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO","YE"],"is_corresponding":false,"raw_author_name":"Emilian Radoi","raw_affiliation_strings":["National Univ. of Science and Technology Politehnica,Bucharest"],"affiliations":[{"raw_affiliation_string":"National Univ. of Science and Technology Politehnica,Bucharest","institution_ids":["https://openalex.org/I61641377","https://openalex.org/I118692353"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115513816"],"corresponding_institution_ids":["https://openalex.org/I118692353","https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70033064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9480000138282776,"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":0.9480000138282776,"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/romanian","display_name":"Romanian","score":0.7066649198532104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6800800561904907},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.64445960521698},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.49871397018432617},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37484145164489746},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14844641089439392}],"concepts":[{"id":"https://openalex.org/C129400051","wikidata":"https://www.wikidata.org/wiki/Q7913","display_name":"Romanian","level":2,"score":0.7066649198532104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6800800561904907},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.64445960521698},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.49871397018432617},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37484145164489746},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14844641089439392},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp63557.2024.10793032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp63557.2024.10793032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2046499381","https://openalex.org/W2091432990","https://openalex.org/W2130131176","https://openalex.org/W2157331557","https://openalex.org/W2183890422","https://openalex.org/W2194775991","https://openalex.org/W2931977246","https://openalex.org/W2973215447","https://openalex.org/W3016010032","https://openalex.org/W3209681328","https://openalex.org/W4319862635","https://openalex.org/W4385245566","https://openalex.org/W6638667902","https://openalex.org/W6640090968","https://openalex.org/W6687566353","https://openalex.org/W6691509046","https://openalex.org/W6755207826","https://openalex.org/W6771467084","https://openalex.org/W6780218876","https://openalex.org/W6796581206","https://openalex.org/W6837789219","https://openalex.org/W6847363464"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4398153181","https://openalex.org/W650530393","https://openalex.org/W3205433727","https://openalex.org/W2765761072","https://openalex.org/W3205728902","https://openalex.org/W2028097510","https://openalex.org/W2505877856"],"abstract_inverted_index":{"Speech":[0],"recognition":[1,36,88,111,160],"models":[2,89],"have":[3],"an":[4],"important":[5],"role":[6],"in":[7,37,64,104,139,143,149],"improving":[8],"efficiency":[9],"and":[10,19,30,97,112,146],"accessibility":[11],"across":[12,163],"various":[13],"industries.":[14,166],"Due":[15],"to":[16,47,74,84],"its":[17],"advantages":[18],"benefits,":[20],"this":[21,58,80,102],"technology":[22,161],"has":[23],"transformed":[24],"sectors":[25],"such":[26,40],"as":[27,41],"healthcare,":[28],"automotive,":[29],"customer":[31],"service.":[32],"However,":[33],"the":[34,48,65,75,128,131,156],"speech":[35,87,110,159],"low-resource":[38],"languages":[39],"Romanian":[42,69,95,134,165],"remains":[43],"relatively":[44],"underdeveloped":[45],"due":[46],"lack":[49],"of":[50,130],"data":[51],"for":[52,124,158],"training":[53],"deep":[54],"learning":[55],"models.":[56,77,115],"For":[57],"reason":[59],"it":[60],"cannot":[61],"be":[62],"utilized":[63],"healthcare":[66],"industry":[67],"where":[68],"specialized":[70,92],"terms":[71],"are":[72,122],"unknown":[73],"speech-to-text":[76],"To":[78],"address":[79],"problem,":[81],"we":[82,126],"propose":[83],"fine-tune":[85],"large":[86,113],"on":[90,133],"a":[91,105],"dataset":[93,103],"with":[94],"audio":[96],"medical":[98,135],"discourse.":[99],"We":[100],"obtain":[101],"semi-automatic":[106],"manner":[107],"by":[108,137],"lever-aging":[109],"language":[114],"By":[116],"adapting":[117],"state-of-the-art":[118],"fine-tuning":[119],"approaches":[120],"that":[121],"used":[123],"LLMs,":[125],"improve":[127],"performance":[129],"model":[132],"discourse":[136],"19.9%":[138],"substitution":[140],"errors,":[141],"28%":[142],"deletion":[144],"errors":[145],"9":[147],"%":[148],"word":[150],"error":[151],"rate.":[152],"This":[153],"approach":[154],"paves":[155],"way":[157],"usage":[162],"many":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}