{"id":"https://openalex.org/W2181350785","doi":"https://doi.org/10.21437/odyssey.2014-46","title":"i-Vector Modeling with Deep Belief Networks for Multi-Session Speaker Recognition","display_name":"i-Vector Modeling with Deep Belief Networks for Multi-Session Speaker Recognition","publication_year":2014,"publication_date":"2014-06-16","ids":{"openalex":"https://openalex.org/W2181350785","doi":"https://doi.org/10.21437/odyssey.2014-46","mag":"2181350785"},"language":"en","primary_location":{"id":"doi:10.21437/odyssey.2014-46","is_oa":false,"landing_page_url":"https://doi.org/10.21437/odyssey.2014-46","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Speaker and Language Recognition Workshop (Odyssey 2014)","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/A5087790881","display_name":"Omid Ghahabi","orcid":"https://orcid.org/0000-0002-0606-2996"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Omid Ghahabi","raw_affiliation_strings":["[Polytechnic University of Catalonia]"],"affiliations":[{"raw_affiliation_string":"[Polytechnic University of Catalonia]","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025633053","display_name":"Javier Hernando","orcid":"https://orcid.org/0000-0002-1730-8154"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Hernando","raw_affiliation_strings":["[Polytechnic University of Catalonia]"],"affiliations":[{"raw_affiliation_string":"[Polytechnic University of Catalonia]","institution_ids":["https://openalex.org/I9617848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087790881"],"corresponding_institution_ids":["https://openalex.org/I9617848"],"apc_list":null,"apc_paid":null,"fwci":6.7656,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.96857828,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"305","last_page":"310"},"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":0.998199999332428,"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":0.995199978351593,"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":0.8689422607421875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.823637843132019},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.6732223033905029},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.6414475440979004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6296153664588928},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6132507920265198},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.6061521768569946},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.543330192565918},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5323963761329651},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5212360620498657},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.5103899836540222},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4469187557697296},{"id":"https://openalex.org/keywords/speaker-verification","display_name":"Speaker verification","score":0.42150670289993286},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3560849130153656}],"concepts":[{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.8689422607421875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.823637843132019},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6732223033905029},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.6414475440979004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6296153664588928},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6132507920265198},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.6061521768569946},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.543330192565918},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5323963761329651},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5212360620498657},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.5103899836540222},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4469187557697296},{"id":"https://openalex.org/C2982762665","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker verification","level":3,"score":0.42150670289993286},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3560849130153656},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/odyssey.2014-46","is_oa":false,"landing_page_url":"https://doi.org/10.21437/odyssey.2014-46","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Speaker and Language Recognition Workshop (Odyssey 2014)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.706.3469","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.706.3469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.uef.fi/odyssey2014/program/pdfs/44.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W49975404","https://openalex.org/W1987098089","https://openalex.org/W1993882792","https://openalex.org/W2012472509","https://openalex.org/W2040105822","https://openalex.org/W2072672266","https://openalex.org/W2100495367","https://openalex.org/W2121812409","https://openalex.org/W2129785530","https://openalex.org/W2136922672","https://openalex.org/W2141778357","https://openalex.org/W2147768505","https://openalex.org/W2150769028","https://openalex.org/W2162315642","https://openalex.org/W2167136086","https://openalex.org/W2184045248","https://openalex.org/W2294814385","https://openalex.org/W2399762392","https://openalex.org/W2399828378","https://openalex.org/W2403389749","https://openalex.org/W2406312423"],"related_works":["https://openalex.org/W2206035908","https://openalex.org/W66821593","https://openalex.org/W1521299571","https://openalex.org/W4247736853","https://openalex.org/W2162158162","https://openalex.org/W4235705411","https://openalex.org/W1493012537","https://openalex.org/W1999004162","https://openalex.org/W2144470400","https://openalex.org/W2911612049"],"abstract_inverted_index":{"In":[0,26],"this":[1],"paper":[2],"we":[3],"propose":[4],"an":[5,77],"impostor":[6,89],"selection":[7],"method":[8,79],"for":[9,65],"a":[10,21,33,40],"Deep":[11],"Belief":[12],"Network":[13],"(DBN)":[14],"based":[15],"system":[16,69,113,124],"which":[17],"models":[18,82],"i-vectors":[19],"in":[20,125],"multi-session":[22],"speaker":[23,74,86],"verification":[24],"task.":[25],"the":[27,46,57,62,88,99,110,122,126],"proposed":[28,111],"method,":[29],"instead":[30],"of":[31,36,48,119],"choosing":[32],"fixed":[34],"number":[35],"most":[37],"informative":[38],"impostors,":[39],"threshold":[41],"is":[42,96,107],"de-fined":[43],"according":[44],"to":[45],"frequencies":[47],"impostors.":[49],"The":[50,68,94],"se-lected":[51],"impostors":[52,64],"are":[53,59],"then":[54,81],"clustered":[55],"and":[56,80,91,105],"centroids":[58,90],"considered":[60],"as":[61],"final":[63],"target":[66,73,85],"speakers.":[67],"first":[70],"trains":[71],"each":[72,84],"unsupervisingly":[75],"by":[76],"adaptation":[78],"discriminatively":[83],"using":[87],"tar-get":[92],"i-vectors.":[93],"evaluation":[95],"performed":[97],"on":[98],"NIST":[100],"2014":[101],"i-vector":[102],"challenge":[103],"database":[104],"it":[106],"shown":[108],"that":[109],"DBN-based":[112],"achieves":[114],"23":[115],"%":[116],"relative":[117],"im-provement":[118],"minDCF":[120],"over":[121],"baseline":[123],"challenge.":[127],"1.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}