{"id":"https://openalex.org/W2116766658","doi":"https://doi.org/10.1109/icassp.2010.5495576","title":"Joint frame and Gaussian selection for text independent speaker verification","display_name":"Joint frame and Gaussian selection for text independent speaker verification","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2116766658","doi":"https://doi.org/10.1109/icassp.2010.5495576","mag":"2116766658"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5023224767","display_name":"Rahim Saeidi","orcid":"https://orcid.org/0000-0002-9084-0091"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahim Saeidi","raw_affiliation_strings":["Department of Computer Science and Statistics, University of Joensuu, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Statistics, University of Joensuu, Finland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043168931","display_name":"Tomi Kinnunen","orcid":"https://orcid.org/0000-0002-4371-7322"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomi Kinnunen","raw_affiliation_strings":["Department of Computer Science and Statistics, University of Joensuu, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Statistics, University of Joensuu, Finland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045114234","display_name":"H. R. Sadegh Mohammadi","orcid":"https://orcid.org/0000-0002-7367-4765"},"institutions":[{"id":"https://openalex.org/I2802694670","display_name":"Academic Center for Education, Culture and Research","ror":"https://ror.org/0126z4b94","country_code":"IR","type":"nonprofit","lineage":["https://openalex.org/I2802694670"]},{"id":"https://openalex.org/I4210099201","display_name":"Iranian Institute for Health Sciences Research","ror":"https://ror.org/00yesn553","country_code":"IR","type":"healthcare","lineage":["https://openalex.org/I4210099201"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hamid Reza Sadegh Mohammadi","raw_affiliation_strings":["Iranian Research Institute for Electrical Engineering, ACECR, Tehran, Tehran, Iran","Iranian Research Institute for Electrical Engineering, ACECR, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iranian Research Institute for Electrical Engineering, ACECR, Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I2802694670","https://openalex.org/I4210099201"]},{"raw_affiliation_string":"Iranian Research Institute for Electrical Engineering, ACECR, Tehran, Iran","institution_ids":["https://openalex.org/I2802694670","https://openalex.org/I4210099201"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019758851","display_name":"Robert D. Rodman","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Rodman","raw_affiliation_strings":["Department of Computer Science, North Carolina State University, Raleigh, USA","Dept of Computer Science, North Carolina State University, Raleigh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina State University, Raleigh, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Dept of Computer Science, North Carolina State University, Raleigh, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037846871","display_name":"Pasi Fr\u00e4nti","orcid":"https://orcid.org/0000-0002-9554-2827"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pasi Franti","raw_affiliation_strings":["Department of Computer Science and Statistics, University of Joensuu, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Statistics, University of Joensuu, Finland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2725,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5371586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4530","last_page":"4533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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/T10860","display_name":"Speech and Audio Processing","score":0.9958000183105469,"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":0.9923999905586243,"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/computer-science","display_name":"Computer science","score":0.7444600462913513},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6940787434577942},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.6134656667709351},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5973271131515503},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5344732403755188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5292726755142212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4977438747882843},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4960258901119232},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.47745779156684875},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.44761496782302856},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4147166609764099},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3667784333229065},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2731148600578308}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7444600462913513},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6940787434577942},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.6134656667709351},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5973271131515503},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5344732403755188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5292726755142212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4977438747882843},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4960258901119232},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.47745779156684875},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.44761496782302856},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4147166609764099},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3667784333229065},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2731148600578308},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2010.5495576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.212.4222","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.212.4222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.joensuu.fi/pages/tkinnu/webpage/pdf/Rahim_ICASSP10_Final.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322754","display_name":"Kansainv\u00e4lisen Liikkuvuuden ja Yhteisty\u00f6n Keskus","ror":"https://ror.org/00wj0f678"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W42176576","https://openalex.org/W153948616","https://openalex.org/W323109315","https://openalex.org/W1990291240","https://openalex.org/W2041823554","https://openalex.org/W2078953162","https://openalex.org/W2099124598","https://openalex.org/W2121389521","https://openalex.org/W2142910631","https://openalex.org/W2152195021","https://openalex.org/W2155680790","https://openalex.org/W2164546157","https://openalex.org/W2165880886","https://openalex.org/W2402846924","https://openalex.org/W6606212256"],"related_works":["https://openalex.org/W2807901368","https://openalex.org/W2158491338","https://openalex.org/W2133733652","https://openalex.org/W2072658171","https://openalex.org/W2606392311","https://openalex.org/W1578916557","https://openalex.org/W1992295166","https://openalex.org/W2143508933","https://openalex.org/W2169866437","https://openalex.org/W1964286703"],"abstract_inverted_index":{"Gaussian":[0,20,64,101],"selection":[1,21],"is":[2],"a":[3,18,95],"technique":[4],"applied":[5],"in":[6],"the":[7,32,43,47,69,79],"GMM-UBM":[8,105],"framework":[9],"to":[10,38,60,104],"accelerate":[11],"score":[12],"calculation.":[13],"We":[14],"have":[15],"recently":[16],"introduced":[17],"novel":[19],"method":[22,53],"known":[23],"as":[24,106],"sorted":[25],"GMM":[26],"(SGMM).":[27],"SGMM":[28],"uses":[29],"scalar-indexing":[30],"of":[31,42,91,100],"universal":[33],"background":[34],"model":[35],"mean":[36],"vectors":[37],"achieve":[39],"fast":[40],"search":[41],"top-scoring":[44,92],"Gaussians.":[45],"In":[46],"present":[48],"work":[49],"we":[50],"extend":[51],"this":[52],"by":[54,94],"using":[55],"2-dimensional":[56],"indexing,":[57],"which":[58],"leads":[59],"simultaneous":[61],"frame":[62,86],"and":[63,81,88],"selection.":[65],"Our":[66],"results":[67],"on":[68],"NIST":[70],"2002":[71],"speaker":[72],"recognition":[73],"evaluation":[74],"corpus":[75],"indicate":[76],"that":[77],"both":[78],"1-":[80],"2-":[82],"dimensional":[83],"SGMMs":[84],"outperform":[85],"decimation":[87],"temporal":[89],"tracking":[90],"Gaussians":[93],"wide":[96],"margin":[97],"(in":[98],"terms":[99],"computations":[102],"relative":[103],"baseline).":[107]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
