{"id":"https://openalex.org/W2162042658","doi":"https://doi.org/10.1109/icassp.2006.1659994","title":"Discriminative Training Techniques for Acoustic Language Identification","display_name":"Discriminative Training Techniques for Acoustic Language Identification","publication_year":2006,"publication_date":"2006-08-02","ids":{"openalex":"https://openalex.org/W2162042658","doi":"https://doi.org/10.1109/icassp.2006.1659994","mag":"2162042658"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1659994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1659994","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/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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech@FIT group, Brno University of Technology, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech@FIT group, Brno University of Technology, Czech Republic","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech@FIT group, Brno University of Technology, Czech Republic","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":8.3053,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.98397723,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991999864578247,"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":0.9991999864578247,"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/T11309","display_name":"Music and Audio Processing","score":0.9987999796867371,"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/T10860","display_name":"Speech and Audio Processing","score":0.9980000257492065,"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/nist","display_name":"NIST","score":0.911636233329773},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.9113674163818359},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7504860162734985},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7004607915878296},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6883141994476318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6625634431838989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5598731637001038},{"id":"https://openalex.org/keywords/heteroscedasticity","display_name":"Heteroscedasticity","score":0.5062419772148132},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.49886226654052734},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47211754322052},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.47170233726501465},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42231640219688416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29988253116607666}],"concepts":[{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.911636233329773},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9113674163818359},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7504860162734985},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7004607915878296},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6883141994476318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6625634431838989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5598731637001038},{"id":"https://openalex.org/C101104100","wikidata":"https://www.wikidata.org/wiki/Q1063540","display_name":"Heteroscedasticity","level":2,"score":0.5062419772148132},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.49886226654052734},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47211754322052},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.47170233726501465},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42231640219688416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29988253116607666},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2006.1659994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1659994","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":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W151003953","https://openalex.org/W156922528","https://openalex.org/W158670877","https://openalex.org/W1507177964","https://openalex.org/W1979136262","https://openalex.org/W1995752403","https://openalex.org/W2045801524","https://openalex.org/W2103271482","https://openalex.org/W2137075158","https://openalex.org/W2146194791","https://openalex.org/W2172287020","https://openalex.org/W2398046886","https://openalex.org/W2411442511","https://openalex.org/W2468573742","https://openalex.org/W6606123296","https://openalex.org/W6606388411","https://openalex.org/W6657160437","https://openalex.org/W6661873022"],"related_works":["https://openalex.org/W2162042658","https://openalex.org/W2147863323","https://openalex.org/W1572802059","https://openalex.org/W2120026622","https://openalex.org/W1997472478","https://openalex.org/W2090826137","https://openalex.org/W1984929054","https://openalex.org/W2132215870","https://openalex.org/W2083415844","https://openalex.org/W2355203151"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"comparison":[3],"of":[4,44,53,78],"Maximum":[5,10],"Likelihood":[6],"(ML)":[7],"and":[8,66,69],"discriminative":[9],"Mutual":[11],"Information":[12],"(MMI)":[13],"training":[14,48],"for":[15,63,75],"acoustic":[16,54,82],"modeling":[17,77],"in":[18,80],"language":[19],"identification":[20],"(LID).":[21],"Both":[22],"approaches":[23],"are":[24,34,56],"compared":[25],"on":[26,36,94],"state-of-":[27],"the-art":[28],"shifted":[29],"delta-cepstra":[30],"features,":[31],"the":[32,81],"results":[33,92],"reported":[35],"data":[37],"from":[38],"NIST":[39,95],"2003":[40,96],"evaluations.":[41],"Clear":[42],"advantage":[43],"MMI":[45],"over":[46],"ML":[47],"is":[49],"shown.":[50],"Further":[51],"improvements":[52],"LID":[55],"discussed:":[57],"Heteroscedastic":[58],"Linear":[59],"Discriminant":[60],"Analysis":[61],"(HLDA)":[62],"feature":[64],"de-correlation":[65],"dimensionality":[67],"reduction":[68],"Ergodic":[70],"Hidden":[71],"Markov":[72],"models":[73],"(EHMM)":[74],"better":[76],"dynamics":[79],"space.":[83],"The":[84],"final":[85],"error":[86],"rate":[87],"compares":[88],"favorably":[89],"to":[90],"other":[91],"published":[93],"data.":[97]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":9}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}