{"id":"https://openalex.org/W8150154","doi":"https://doi.org/10.21437/interspeech.2010-132","title":"The IIR NIST SRE 2008 and 2010 summed channel speaker recognition systems","display_name":"The IIR NIST SRE 2008 and 2010 summed channel speaker recognition systems","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W8150154","doi":"https://doi.org/10.21437/interspeech.2010-132","mag":"8150154"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2010-132","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","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/A5100813843","display_name":"Hanwu Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanwu Sun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749735","display_name":"Bin Ma","orcid":"https://orcid.org/0000-0002-9223-9654"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bin Ma","raw_affiliation_strings":["Agency for Science, Technology and Research, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agency for Science, Technology and Research, Singapore, Singapore","institution_ids":["https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103086620","display_name":"Chien-Lin Huang","orcid":"https://orcid.org/0000-0003-3157-4173"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chien-Lin Huang","raw_affiliation_strings":["Agency for Science, Technology and Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agency for Science, Technology and Research","institution_ids":["https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079029821","display_name":"Trung Hieu Nguyen","orcid":"https://orcid.org/0000-0002-7989-5235"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trung Hieu Nguyen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032690182","display_name":"Haizhou Li","orcid":"https://orcid.org/0000-0001-9158-9401"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haizhou Li","raw_affiliation_strings":["Agency for Science, Technology and Research, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agency for Science, Technology and Research, Singapore, Singapore","institution_ids":["https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"366","last_page":"369"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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/T11309","display_name":"Music and Audio Processing","score":0.9945999979972839,"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":0.8510680198669434},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.8191820383071899},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.8069289922714233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7809464931488037},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.7347838878631592},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5881999731063843},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5703797340393066},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.47357019782066345},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4644700586795807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38099464774131775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34193068742752075},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2662115693092346},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07232752442359924},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06803762912750244}],"concepts":[{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.8510680198669434},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.8191820383071899},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.8069289922714233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7809464931488037},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.7347838878631592},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5881999731063843},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5703797340393066},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.47357019782066345},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4644700586795807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38099464774131775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34193068742752075},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2662115693092346},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07232752442359924},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06803762912750244},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2010-132","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W79317937","https://openalex.org/W90546637","https://openalex.org/W1481676178","https://openalex.org/W1502693945","https://openalex.org/W2041823554","https://openalex.org/W2060656758","https://openalex.org/W2078953162","https://openalex.org/W2128653836","https://openalex.org/W2128986198","https://openalex.org/W2137075158","https://openalex.org/W2144760012","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1963976507","https://openalex.org/W2206035908","https://openalex.org/W3119288895","https://openalex.org/W2185075503","https://openalex.org/W4247736853","https://openalex.org/W2162158162","https://openalex.org/W1493012537","https://openalex.org/W1999004162","https://openalex.org/W2175373321","https://openalex.org/W4229940372"],"abstract_inverted_index":{"This":[0],"paper":[1],"reports":[2],"the":[3,9,15,80,95,112,118],"IIR":[4],"speaker":[5,30,33,50,88],"recognition":[6,89],"system":[7,22,52,90,104],"for":[8,44,56,65],"summed":[10,66,81],"channel":[11,67,82],"evaluation":[12],"tasks":[13],"in":[14,111,117],"NIST":[16,60],"SRE":[17],"2008":[18],"and":[19,32,58,73,100,115],"2010.":[20],"The":[21,35,49,86,103],"includes":[23],"three":[24],"main":[25],"modules:":[26],"voice":[27,40],"activity":[28,41],"detection,":[29],"diarization":[31,51],"recognition.":[34],"front-end":[36],"process":[37],"employs":[38],"a":[39],"detection":[42],"algorithm":[43,75],"effective":[45],"speech":[46,68,83],"frame":[47],"selection.":[48],"that":[53],"was":[54],"developed":[55,77],"2007":[57],"2009":[59],"RT":[61],"Evaluations":[62],"is":[63,76,91],"adopted":[64,92],"segmentation.":[69],"A":[70],"hybrid":[71],"purifying":[72],"clustering":[74],"to":[78,93],"segregate":[79],"by":[84],"speakers.":[85],"GMM-SVM":[87],"evaluate":[94],"performance":[96],"with":[97],"both":[98],"MFCC":[99],"LPCC":[101],"features.":[102],"achieves":[105],"an":[106],"overall":[107],"EER":[108],"of":[109],"3.46%":[110],"1conv-summed":[113],"task":[114],"1.87%":[116],"8conv-summed":[119],"task,":[120],"respectively,":[121],"where":[122],"only":[123],"all":[124],"English":[125],"trials":[126],"are":[127],"involved.":[128]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
