{"id":"https://openalex.org/W2121299803","doi":"https://doi.org/10.1109/tasl.2009.2038807","title":"Improved Recognition of Spontaneous Hungarian Speech\u2014Morphological and Acoustic Modeling Techniques for a Less Resourced Task","display_name":"Improved Recognition of Spontaneous Hungarian Speech\u2014Morphological and Acoustic Modeling Techniques for a Less Resourced Task","publication_year":2009,"publication_date":"2009-12-21","ids":{"openalex":"https://openalex.org/W2121299803","doi":"https://doi.org/10.1109/tasl.2009.2038807","mag":"2121299803"},"language":"en","primary_location":{"id":"doi:10.1109/tasl.2009.2038807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2009.2038807","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5020514527","display_name":"P\u00e9ter Mihajlik","orcid":"https://orcid.org/0000-0001-7532-9773"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"P Mihajlik","raw_affiliation_strings":["Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary","THINKTech Research Center Nonprofit LLC, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]},{"raw_affiliation_string":"THINKTech Research Center Nonprofit LLC, Hungary","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047353872","display_name":"Zolt\u00e1n T\u00fcske","orcid":null},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Z Tuske","raw_affiliation_strings":["Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014608650","display_name":"Bal\u00e1zs Tarj\u00e1n","orcid":"https://orcid.org/0000-0002-9676-3082"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"B Tarj\u00e1n","raw_affiliation_strings":["Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081056211","display_name":"Bal\u00e1zs N\u00e9meth","orcid":"https://orcid.org/0000-0003-0211-3204"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"B N\u00e9meth","raw_affiliation_strings":["Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075146981","display_name":"Tibor Fegy\u00f3","orcid":null},"institutions":[{"id":"https://openalex.org/I3131446353","display_name":"Andr\u00e1ssy University Budapest","ror":"https://ror.org/05xezqk59","country_code":"HU","type":"education","lineage":["https://openalex.org/I3131446353"]},{"id":"https://openalex.org/I4210121426","display_name":"AITIA International (Hungary)","ror":"https://ror.org/02fwr8382","country_code":"HU","type":"company","lineage":["https://openalex.org/I4210121426"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"T Fegy\u00f3","raw_affiliation_strings":["AITIA International Inc, Hungary","Department of Telecommunications and Media Informatics, Budapest University\uc2a0of\uc2a0Technology\uc2a0and\uc2a0Economics, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AITIA International Inc, Hungary","institution_ids":["https://openalex.org/I4210121426"]},{"raw_affiliation_string":"Department of Telecommunications and Media Informatics, Budapest University\uc2a0of\uc2a0Technology\uc2a0and\uc2a0Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I3131446353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8855,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95143137,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"18","issue":"6","first_page":"1588","last_page":"1600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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/T10201","display_name":"Speech Recognition and Synthesis","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9998000264167786,"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":0.7991241216659546},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6719422340393066},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6637293696403503},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5773953199386597},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5491438508033752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.536555290222168},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5311183929443359},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5069887638092041},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.46196478605270386},{"id":"https://openalex.org/keywords/agglutinative-language","display_name":"Agglutinative language","score":0.4574025273323059},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.428009957075119},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13276097178459167},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.09231126308441162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991241216659546},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6719422340393066},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6637293696403503},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5773953199386597},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5491438508033752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.536555290222168},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5311183929443359},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5069887638092041},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.46196478605270386},{"id":"https://openalex.org/C80875076","wikidata":"https://www.wikidata.org/wiki/Q171263","display_name":"Agglutinative language","level":3,"score":0.4574025273323059},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.428009957075119},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13276097178459167},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.09231126308441162},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tasl.2009.2038807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2009.2038807","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W14331692","https://openalex.org/W23024349","https://openalex.org/W24033158","https://openalex.org/W76921649","https://openalex.org/W88081813","https://openalex.org/W144226618","https://openalex.org/W144561545","https://openalex.org/W201532657","https://openalex.org/W294504433","https://openalex.org/W1494693235","https://openalex.org/W1510837697","https://openalex.org/W1512317811","https://openalex.org/W1532139253","https://openalex.org/W1553630706","https://openalex.org/W1563905377","https://openalex.org/W1583855278","https://openalex.org/W1606302751","https://openalex.org/W1608231129","https://openalex.org/W1614189627","https://openalex.org/W1631260214","https://openalex.org/W1707124376","https://openalex.org/W1956785191","https://openalex.org/W2010910318","https://openalex.org/W2031287088","https://openalex.org/W2031338704","https://openalex.org/W2032942114","https://openalex.org/W2042783153","https://openalex.org/W2046932483","https://openalex.org/W2069712814","https://openalex.org/W2098439409","https://openalex.org/W2100373303","https://openalex.org/W2100808117","https://openalex.org/W2103589071","https://openalex.org/W2114747788","https://openalex.org/W2127923419","https://openalex.org/W2133692508","https://openalex.org/W2134501463","https://openalex.org/W2151565769","https://openalex.org/W2152753389","https://openalex.org/W2327996191","https://openalex.org/W2401549152","https://openalex.org/W3150637114","https://openalex.org/W3183153947","https://openalex.org/W4252684946","https://openalex.org/W6608128620","https://openalex.org/W6610520150","https://openalex.org/W6634779503","https://openalex.org/W6679867915"],"related_works":["https://openalex.org/W2728343294","https://openalex.org/W2952149385","https://openalex.org/W1997182898","https://openalex.org/W1531783358","https://openalex.org/W2114358883","https://openalex.org/W2129812225","https://openalex.org/W1745277","https://openalex.org/W2050938027","https://openalex.org/W2944691285","https://openalex.org/W2914864687"],"abstract_inverted_index":{"Various":[0],"morphological":[1,165],"and":[2,69,83,94,106,198,216],"acoustic":[3,85,142,158,213],"modeling":[4,86,159,166,214],"techniques":[5,87,115],"are":[6,77,99,127],"evaluated":[7],"on":[8,88,172],"a":[9,39,52,117,155,163,188],"less":[10],"resourced,":[11],"spontaneous":[12],"Hungarian":[13,24,45],"large-vocabulary":[14],"continuous":[15],"speech":[16,181],"recognition":[17,151,182],"(LVCSR)":[18],"task.":[19,91],"Among":[20],"morphologically":[21],"rich":[22],"languages,":[23],"is":[25,47,58,184,210],"known":[26],"for":[27],"its":[28],"agglutinative,":[29],"inflective":[30],"nature":[31],"that":[32,195],"increases":[33],"the":[34,56,89,112,125,135,169,173,207],"data":[35],"sparseness":[36],"caused":[37],"by":[38,60,102,186,206],"relatively":[40],"small":[41],"training":[42],"database.":[43],"Although":[44,111],"spelling":[46],"considered":[48],"as":[49],"simple":[50],"phonological,":[51],"large":[53],"part":[54],"of":[55,120,122,137,145],"corpus":[57],"covered":[59],"words":[61],"pronounced":[62],"in":[63,79],"multiple,":[64],"phonemically":[65],"different":[66],"ways.":[67],"Data-driven":[68],"language":[70],"specific":[71],"knowledge":[72],"supported":[73],"vocabulary":[74,108,123],"decomposition":[75,109,193],"methods":[76],"investigated":[78],"combination":[80],"with":[81,162,218],"phoneme-":[82],"grapheme-based":[84,141],"given":[90],"Word":[92],"baseline":[93,97],"morph-based":[95,114],"advanced":[96],"results":[98],"significantly":[100],"outperformed":[101],"using":[103,187],"both":[104],"statistical":[105,164,200],"grammatical":[107,197],"methods.":[110],"discussed":[113],"recognize":[116],"significant":[118],"amount":[119],"out":[121],"words,":[124],"improvements":[126],"due":[128],"not":[129],"to":[130,134,191],"this":[131],"fact":[132],"but":[133],"reduction":[136],"insertion":[138],"errors.":[139],"Applying":[140],"models":[143,147],"instead":[144],"phoneme-based":[146],"causes":[148],"no":[149],"severe":[150],"performance":[152,171,183],"deteriorations.":[153],"Moreover,":[154],"fully":[156],"data-driven":[157],"technique":[160,194,209],"along":[161],"approach":[167],"provides":[168],"best":[170,180],"most":[174],"difficult":[175],"test":[176],"set.":[177],"The":[178,203],"overall":[179],"obtained":[185],"novel":[189],"word":[190],"morph":[192],"combines":[196],"unsupervised":[199],"segmentation":[201],"algorithms.":[202],"improvement":[204],"achieved":[205],"proposed":[208],"stable":[211],"across":[212],"approaches":[215],"larger":[217],"speaker":[219],"adaptation.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
