{"id":"https://openalex.org/W45597771","doi":"https://doi.org/10.21437/eurospeech.2003-186","title":"Comparative study on hungarian acoustic model sets and training methods","display_name":"Comparative study on hungarian acoustic model sets and training methods","publication_year":2003,"publication_date":"2003-09-01","ids":{"openalex":"https://openalex.org/W45597771","doi":"https://doi.org/10.21437/eurospeech.2003-186","mag":"45597771"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2003-186","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","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/A5075146981","display_name":"Tibor Fegy\u00f3","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tibor Fegyo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020514527","display_name":"P\u00e9ter Mihajlik","orcid":"https://orcid.org/0000-0001-7532-9773"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Mihajlik","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005494596","display_name":"P. Tatai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Tatai","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075146981"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9137,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78414016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"829","last_page":"832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9904999732971191,"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":0.9542999863624573,"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/computer-science","display_name":"Computer science","score":0.8094916939735413},{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.7864553332328796},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7254651784896851},{"id":"https://openalex.org/keywords/acoustic-model","display_name":"Acoustic model","score":0.6166614890098572},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5565968155860901},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5376267433166504},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5307835340499878},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.44481393694877625},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.42670977115631104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4037307798862457},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.38165926933288574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0874595046043396},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07704553008079529}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8094916939735413},{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.7864553332328796},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7254651784896851},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.6166614890098572},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5565968155860901},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5376267433166504},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5307835340499878},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.44481393694877625},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.42670977115631104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4037307798862457},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.38165926933288574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0874595046043396},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07704553008079529},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/eurospeech.2003-186","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W88081813","https://openalex.org/W144561545","https://openalex.org/W200392414","https://openalex.org/W1532139253","https://openalex.org/W2017291470","https://openalex.org/W3162463955"],"related_works":["https://openalex.org/W2154156780","https://openalex.org/W2121652828","https://openalex.org/W2992378684","https://openalex.org/W2964829415","https://openalex.org/W642007152","https://openalex.org/W2122233706","https://openalex.org/W2105439218","https://openalex.org/W1992225910","https://openalex.org/W3143423642","https://openalex.org/W2131711534"],"abstract_inverted_index":{"In":[0,79],"recent":[1],"speech":[2,13,17,49],"recognition":[3,9,50,94],"systems":[4,51],"the":[5,12,37,40,62,65,74,77,86,93,97,101,106,113],"base":[6],"unit":[7],"of":[8,39,64,76,88,99,103,108,115],"is":[10,22],"generally":[11],"sound.":[14],"To":[15],"each":[16],"sound":[18],"an":[19],"acoustic":[20],"model":[21],"associated,":[23],"whose":[24],"parameters":[25],"are":[26],"estimated":[27],"by":[28],"statistical":[29],"methods.":[30],"The":[31],"proper":[32],"training":[33,90],"data":[34],"fundamentally":[35],"determine":[36],"efficiency":[38],"recognizer.":[41],"Present":[42],"day":[43],"technology":[44],"and":[45,57,105,118],"computational":[46],"capacity":[47],"allow":[48],"to":[52,92],"operate":[53],"with":[54],"large":[55,71],"dictionaries":[56],"complex":[58],"language":[59],"models,":[60],"but":[61],"quality":[63],"basic":[66],"pattern":[67],"matching":[68],"units":[69],"has":[70],"influence":[72],"on":[73],"reliability":[75],"system.":[78],"our":[80],"experiments":[81],"presented":[82],"here":[83],"we":[84],"investigated":[85],"effects":[87],"different":[89],"methods":[91],"accuracy;":[95],"namely,":[96],"effect":[98],"increasing":[100],"number":[102,107],"speakers":[104],"mixtures":[109],"were":[110],"examined":[111],"in":[112],"case":[114],"pronunciation":[116],"modeling":[117],"context":[119],"independent":[120],"models.":[121]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
