{"id":"https://openalex.org/W4416417377","doi":"https://doi.org/10.48550/arxiv.2503.21025","title":"Improving Speech Recognition Accuracy Using Custom Language Models with the Vosk Toolkit","display_name":"Improving Speech Recognition Accuracy Using Custom Language Models with the Vosk Toolkit","publication_year":2025,"publication_date":"2025-03-26","ids":{"openalex":"https://openalex.org/W4416417377","doi":"https://doi.org/10.48550/arxiv.2503.21025"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2503.21025","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.21025","pdf_url":"https://arxiv.org/pdf/2503.21025","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"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.21025","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047744896","display_name":"Aniket Abhishek Soni","orcid":"https://orcid.org/0000-0003-2253-4567"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Soni, Aniket Abhishek","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5047744896"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.8059999942779541,"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":0.8059999942779541,"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":0.05939999967813492,"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/T11309","display_name":"Music and Audio Processing","score":0.03779999911785126,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.7132999897003174},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5741999745368958},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5611000061035156},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.550000011920929},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4860000014305115},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.47929999232292175},{"id":"https://openalex.org/keywords/phonetic-transcription","display_name":"Phonetic transcription","score":0.39629998803138733},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.38089999556541443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8105000257492065},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.7132999897003174},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6370999813079834},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5741999745368958},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5611000061035156},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.550000011920929},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5178999900817871},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4860000014305115},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.47929999232292175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41040000319480896},{"id":"https://openalex.org/C2777853878","wikidata":"https://www.wikidata.org/wiki/Q743569","display_name":"Phonetic transcription","level":2,"score":0.39629998803138733},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.38089999556541443},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.33889999985694885},{"id":"https://openalex.org/C157968479","wikidata":"https://www.wikidata.org/wiki/Q3079876","display_name":"Audio mining","level":4,"score":0.33500000834465027},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.2928999960422516},{"id":"https://openalex.org/C504749915","wikidata":"https://www.wikidata.org/wiki/Q9010971","display_name":"Speech technology","level":3,"score":0.28949999809265137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2831999957561493},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C2983335612","wikidata":"https://www.wikidata.org/wiki/Q54277","display_name":"Word processing","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2503.21025","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.21025","pdf_url":"https://arxiv.org/pdf/2503.21025","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"},{"id":"doi:10.48550/arxiv.2503.21025","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.21025","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2503.21025","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.21025","pdf_url":"https://arxiv.org/pdf/2503.21025","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Although":[0],"speech":[1,87],"recognition":[2,88],"algorithms":[3],"have":[4],"developed":[5,81],"quickly":[6],"in":[7,42,110],"recent":[8],"years,":[9],"achieving":[10],"high":[11],"transcription":[12,78,130],"accuracy":[13,41],"across":[14],"diverse":[15],"audio":[16,52,58],"formats":[17,59],"and":[18,65,73,92,131,138],"acoustic":[19],"environments":[20],"remains":[21],"a":[22,97,124],"major":[23],"challenge.":[24],"This":[25,121],"work":[26,122],"explores":[27],"how":[28],"incorporating":[29],"custom":[30,103],"language":[31],"models":[32,104],"with":[33],"the":[34,94],"open-source":[35],"Vosk":[36],"Toolkit":[37],"can":[38],"improve":[39],"speech-to-text":[40],"varied":[43,116],"settings.":[44],"Unlike":[45],"many":[46],"conventional":[47],"systems":[48],"limited":[49],"to":[50,82,96],"specific":[51],"types,":[53],"this":[54],"approach":[55],"supports":[56],"multiple":[57],"such":[60],"as":[61],"WAV,":[62],"MP3,":[63],"FLAC,":[64],"OGG":[66],"by":[67],"using":[68,89],"Python":[69],"modules":[70],"for":[71,128,136],"preprocessing":[72],"format":[74],"conversion.":[75],"A":[76],"Python-based":[77],"pipeline":[79],"was":[80],"process":[83],"input":[84],"audio,":[85],"perform":[86],"Vosk's":[90],"KaldiRecognizer,":[91],"export":[93],"output":[95],"DOCX":[98],"file.":[99],"Results":[100],"showed":[101],"that":[102],"reduced":[105],"word":[106],"error":[107],"rates,":[108],"especially":[109],"domain-specific":[111],"scenarios":[112],"involving":[113],"technical":[114],"terminology,":[115],"accents,":[117],"or":[118],"background":[119],"noise.":[120],"presents":[123],"cost-effective,":[125],"offline":[126],"solution":[127],"high-accuracy":[129],"opens":[132],"up":[133],"future":[134],"opportunities":[135],"automation":[137],"real-time":[139],"applications.":[140]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
