{"id":"https://openalex.org/W2092347231","doi":"https://doi.org/10.1145/2071639.2071641","title":"Language recognition with language total variability","display_name":"Language recognition with language total variability","publication_year":2011,"publication_date":"2011-08-13","ids":{"openalex":"https://openalex.org/W2092347231","doi":"https://doi.org/10.1145/2071639.2071641","mag":"2092347231"},"language":"en","primary_location":{"id":"doi:10.1145/2071639.2071641","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2071639.2071641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 International Conference on Innovative Computing and Cloud Computing","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/A5101107832","display_name":"Jinchao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinchao Yang","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing","Chinese Academy of Sciences [Beijing]"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences [Beijing]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368911","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0003-1003-9892"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing","Chinese Academy of Sciences [Beijing]"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences [Beijing]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109630497","display_name":"Hongbin Suo","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Suo","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing","Chinese Academy of Sciences [Beijing]"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences [Beijing]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658678","display_name":"Li L\u00fc","orcid":"https://orcid.org/0000-0001-5230-3749"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Lu","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing","Chinese Academy of Sciences [Beijing]"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences [Beijing]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076180260","display_name":"Jianping Zhang","orcid":"https://orcid.org/0000-0003-2212-5296"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing","Chinese Academy of Sciences [Beijing]"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences [Beijing]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100425112","display_name":"Yonghong Yan","orcid":"https://orcid.org/0000-0001-6907-5770"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Yan","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing","Chinese Academy of Sciences [Beijing]"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences [Beijing]","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101107832"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11422161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9872000217437744,"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":0.9814000129699707,"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":0.8992434740066528},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7635526061058044},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.5786558389663696},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5553508996963501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5413693189620972},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5365697145462036},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.503070056438446},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4658874571323395},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4522373080253601},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08272415399551392}],"concepts":[{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.8992434740066528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7635526061058044},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.5786558389663696},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5553508996963501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5413693189620972},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5365697145462036},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.503070056438446},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4658874571323395},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4522373080253601},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08272415399551392},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2071639.2071641","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2071639.2071641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 International Conference on Innovative Computing and Cloud Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6700000166893005,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G7594021943","display_name":null,"funder_award_id":"1.09E+47","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W111477576","https://openalex.org/W1486089539","https://openalex.org/W1491198847","https://openalex.org/W1993482042","https://openalex.org/W2012908927","https://openalex.org/W2038262612","https://openalex.org/W2045801524","https://openalex.org/W2098508228","https://openalex.org/W2099625016","https://openalex.org/W2106284094","https://openalex.org/W2121415728","https://openalex.org/W2130633305","https://openalex.org/W2144414181","https://openalex.org/W2146194791","https://openalex.org/W2150769028","https://openalex.org/W2162042658","https://openalex.org/W2402735123","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2158491338","https://openalex.org/W2807901368","https://openalex.org/W2133733652","https://openalex.org/W2072658171","https://openalex.org/W2606392311","https://openalex.org/W2320042380","https://openalex.org/W4385956668","https://openalex.org/W2900895161","https://openalex.org/W4380838366","https://openalex.org/W2539884462"],"abstract_inverted_index":{"In":[0,19],"this":[1],"paper,":[2],"we":[3,24,99],"try":[4],"to":[5,16,92,115],"introduce":[6],"the":[7,45,107,128,131,134,137],"idea":[8],"of":[9,72,118,130,133],"total":[10,21,32,41,57],"variability":[11,22,33],"used":[12],"in":[13,120,124],"speaker":[14],"recognition":[15,28,34],"language":[17,20,31,40,46,56,62],"recognition.":[18],"(LTV),":[23],"propose":[25],"a":[26],"new":[27,108],"system":[29,86,109],"names":[30],"system.":[35],"Our":[36],"experiments":[37,53],"show":[38,54,83],"that":[39,55,93],"factor":[42,58],"vector":[43,59],"includes":[44],"dependent":[47,63],"in-":[48],"formation.":[49],"What's":[50],"more,":[51],"our":[52,84],"contains":[60],"different":[61],"information.":[64],"Ex-":[65],"periment":[66],"results":[67],"on":[68],"2007":[69],"National":[70],"Institute":[71],"Standards":[73],"and":[74,98,122,136],"Tech-":[75],"nology":[76],"(NIST)":[77],"Language":[78],"Recognition":[79],"Evaluation":[80],"(LRE)":[81],"databases":[82],"proposed":[85],"LTV":[87],"can":[88,100],"achieve":[89],"performance":[90,129],"similar":[91],"obtained":[94],"with":[95,110,127],"state-of-the-art":[96,111],"approaches,":[97],"obtain":[101],"fur-":[102],"ther":[103],"improvement":[104,117],"by":[105],"combining":[106],"systems.":[112,139],"It":[113],"leads":[114],"relative":[116],"5.7%":[119],"EER":[121],"13.2%":[123],"minDCF":[125],"comparing":[126],"combination":[132],"MMI":[135],"GMM-SVM":[138]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}