{"id":"https://openalex.org/W2103271482","doi":"https://doi.org/10.1109/icassp.2006.1659991","title":"Use of Anti-Models to Further Improve State-of-the-Art PRLM Language Recognition System","display_name":"Use of Anti-Models to Further Improve State-of-the-Art PRLM Language Recognition System","publication_year":2006,"publication_date":"2006-08-03","ids":{"openalex":"https://openalex.org/W2103271482","doi":"https://doi.org/10.1109/icassp.2006.1659991","mag":"2103271482"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1659991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1659991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5076315361","display_name":"Pavel Mat\u011bjka","orcid":null},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"P. Matejka","raw_affiliation_strings":["Speech@FIT group, Brno University of Technology, Czech Republic","Speech@FIT group, Brno University of Technology, Czech Republic, matejkap@fit.vutbr.cz"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech@FIT group, Brno University of Technology, Czech Republic","institution_ids":["https://openalex.org/I60587646"]},{"raw_affiliation_string":"Speech@FIT group, Brno University of Technology, Czech Republic, matejkap@fit.vutbr.cz","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007660964","display_name":"Petr Schwarz","orcid":"https://orcid.org/0000-0002-2281-9637"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"P. Schwarz","raw_affiliation_strings":["Speech@FIT group, Brno University of Technology, Czech Republic","FIT Group, Brno Univ. of Technol"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech@FIT group, Brno University of Technology, Czech Republic","institution_ids":["https://openalex.org/I60587646"]},{"raw_affiliation_string":"FIT Group, Brno Univ. of Technol","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042273299","display_name":"Luk\u00e1\u0161 Burget","orcid":"https://orcid.org/0000-0002-4951-5908"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"L. Burget","raw_affiliation_strings":["Speech@FIT group, Brno University of Technology, Czech Republic","FIT Group, Brno Univ. of Technol"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech@FIT group, Brno University of Technology, Czech Republic","institution_ids":["https://openalex.org/I60587646"]},{"raw_affiliation_string":"FIT Group, Brno Univ. of Technol","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045539248","display_name":"Ja\u0148 \u010cernock\u00fd","orcid":"https://orcid.org/0000-0002-8800-0210"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"J. Cernocky","raw_affiliation_strings":["Speech@FIT group, Brno University of Technology, Czech Republic","FIT Group, Brno Univ. of Technol"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech@FIT group, Brno University of Technology, Czech Republic","institution_ids":["https://openalex.org/I60587646"]},{"raw_affiliation_string":"FIT Group, Brno Univ. of Technol","institution_ids":["https://openalex.org/I60587646"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60587646"],"apc_list":null,"apc_paid":null,"fwci":2.1984,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.88359128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9995999932289124,"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":0.9995999932289124,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9983000159263611,"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":0.996999979019165,"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/nist","display_name":"NIST","score":0.8329784870147705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8183594346046448},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6887070536613464},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6321675181388855},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5335094928741455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.518186628818512},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5099257230758667},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4783634543418884},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.425651878118515},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.42329132556915283},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07808074355125427}],"concepts":[{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.8329784870147705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8183594346046448},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6887070536613464},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6321675181388855},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5335094928741455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.518186628818512},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5099257230758667},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4783634543418884},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.425651878118515},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.42329132556915283},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07808074355125427},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2006.1659991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1659991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W151003953","https://openalex.org/W156922528","https://openalex.org/W1507177964","https://openalex.org/W1631260214","https://openalex.org/W2045801524","https://openalex.org/W2097978681","https://openalex.org/W2113641473","https://openalex.org/W2162042658","https://openalex.org/W2167763959","https://openalex.org/W2172287020","https://openalex.org/W2396373352","https://openalex.org/W2398046886","https://openalex.org/W6636811518","https://openalex.org/W6661873022","https://openalex.org/W6674334065","https://openalex.org/W6712174605"],"related_works":["https://openalex.org/W2106922437","https://openalex.org/W2807901368","https://openalex.org/W2158491338","https://openalex.org/W2133733652","https://openalex.org/W2072658171","https://openalex.org/W2606392311","https://openalex.org/W4385956668","https://openalex.org/W4287644835","https://openalex.org/W3092281475","https://openalex.org/W3098003361"],"abstract_inverted_index":{"This":[0],"paper":[1,54],"concentrates":[2,56],"on":[3,17,57,68,98],"PRLM":[4,42],"(phoneme":[5],"recognizer":[6,34],"followed":[7],"by":[8,44],"language":[9,13,75],"model)":[10],"approach":[11],"to":[12,40,85,110],"recognition.":[14],"It":[15,36],"elaborates":[16],"our":[18,41,111],"prior":[19],"work":[20],"concerning":[21],"the":[22,58,87],"quality":[23],"of":[24,29,60],"phoneme":[25,33,46,61,69],"recognition":[26,47,76],"and":[27,48,63,66,91],"amounts":[28],"training":[30],"data":[31],"for":[32],"training.":[35],"reports":[37],"improvements":[38],"brought":[39,71],"system":[43],"better":[45],"Witten-Bell":[49],"discounting":[50],"in":[51,74],"LM-modeling.":[52],"The":[53,78],"then":[55],"use":[59],"lattices":[62,70],"anti-models.":[64],"Training":[65],"scoring":[67],"significant":[72],"improvement":[73],"accuracy.":[77],"antimodels":[79],"are":[80,96],"simple,":[81],"yet":[82],"powerful":[83],"technique":[84],"improve":[86],"discrimination":[88],"between":[89],"target":[90],"non-target":[92],"languages.":[93],"All":[94],"results":[95,107],"reported":[97],"standard":[99],"NIST":[100],"2003":[101],"data;":[102],"comparison":[103],"with":[104],"other":[105],"published":[106],"is":[108],"favorable":[109],"system.":[112]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
