{"id":"https://openalex.org/W2127925447","doi":"https://doi.org/10.1109/afrcon.2015.7331916","title":"Noise robust speaker verification using GMM-UBM multi-condition training","display_name":"Noise robust speaker verification using GMM-UBM multi-condition training","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2127925447","doi":"https://doi.org/10.1109/afrcon.2015.7331916","mag":"2127925447"},"language":"en","primary_location":{"id":"doi:10.1109/afrcon.2015.7331916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afrcon.2015.7331916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AFRICON 2015","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/A5057207148","display_name":"Bezawit Wubishet Mekonnen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bezawit Wubishet Mekonnen","raw_affiliation_strings":["School of Electrical and Computer Engineering Addis Ababa Institute of Technology, AAU","School of Electrical and Computer Engineering, Addis Ababa Institute of Technology, AAU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering Addis Ababa Institute of Technology, AAU","institution_ids":[]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Addis Ababa Institute of Technology, AAU","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066768276","display_name":"Bisrat Derebssa Dufera","orcid":"https://orcid.org/0000-0003-3377-0661"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bisrat Derebssa Dufera","raw_affiliation_strings":["School of Electrical and Computer Engineering Addis Ababa Institute of Technology, AAU","School of Electrical and Computer Engineering, Addis Ababa Institute of Technology, AAU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering Addis Ababa Institute of Technology, AAU","institution_ids":[]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Addis Ababa Institute of Technology, AAU","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3355,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86352895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"5"},"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":0.9991000294685364,"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":0.9907000064849854,"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":0.747286856174469},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6902074217796326},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6852795481681824},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.5530451536178589},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5140408277511597},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4314414858818054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39044544100761414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38436949253082275},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.19447100162506104},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10205641388893127}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.747286856174469},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6902074217796326},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6852795481681824},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.5530451536178589},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5140408277511597},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4314414858818054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39044544100761414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38436949253082275},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.19447100162506104},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10205641388893127},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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:10.1109/afrcon.2015.7331916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afrcon.2015.7331916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AFRICON 2015","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1582821637","https://openalex.org/W1589469711","https://openalex.org/W1974387177","https://openalex.org/W2041823554","https://openalex.org/W2069883713","https://openalex.org/W2111805153","https://openalex.org/W2121061347","https://openalex.org/W2121750345","https://openalex.org/W2134107584","https://openalex.org/W2135115051","https://openalex.org/W2154278880","https://openalex.org/W2157685287","https://openalex.org/W2165780161","https://openalex.org/W2166817508","https://openalex.org/W6634762676"],"related_works":["https://openalex.org/W4297807400","https://openalex.org/W1491159402","https://openalex.org/W4313854686","https://openalex.org/W321304764","https://openalex.org/W2249138175","https://openalex.org/W3162054169","https://openalex.org/W1813780412","https://openalex.org/W289407349","https://openalex.org/W2029134149","https://openalex.org/W2368768466"],"abstract_inverted_index":{"In":[0,18,35,55],"this":[1],"paper,":[2],"two":[3],"model":[4,23],"based":[5,12,27,99],"approaches":[6,57],"are":[7,48,65],"applied":[8],"to":[9,62],"make":[10],"GMM-UBM":[11],"speaker":[13,22,46],"verification":[14],"task":[15],"noise":[16,30,63,76,100],"robust.":[17],"the":[19,29,36,70],"first":[20],"approach,":[21,38],"adaptation":[24],"is":[25,41,78],"implemented":[26],"on":[28],"condition":[31],"observed":[32],"during":[33],"verification.":[34],"second":[37],"multi-condition":[39,98],"training":[40],"adopted":[42],"in":[43,72],"which":[44],"multiple":[45,51],"models":[47],"trained":[49],"using":[50],"noisy":[52],"speech":[53],"samples.":[54],"both":[56,81],"a":[58],"range":[59],"of":[60,69],"signal":[61],"ratios":[64],"considered.":[66],"The":[67],"performance":[68],"systems":[71],"clean":[73],"and":[74,84],"environmental":[75],"conditions":[77],"tested":[79],"for":[80,108],"target":[82],"trials":[83],"impostor":[85],"trials.":[86],"For":[87],"test":[88,94],"utterance":[89],"corrupted":[90],"by":[91],"additive":[92],"noise,":[93],"results":[95],"show":[96],"that":[97],"compensation":[101],"approach":[102],"achieve":[103],"from":[104],"1.34to":[105],"4.8percentage":[106],"improvement":[107],"GMM-UBM.":[109]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
