{"id":"https://openalex.org/W2513087016","doi":"https://doi.org/10.1109/ssp.2016.7551807","title":"Study of statistical robust closed set speaker identification with feature and score-based fusion","display_name":"Study of statistical robust closed set speaker identification with feature and score-based fusion","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2513087016","doi":"https://doi.org/10.1109/ssp.2016.7551807","mag":"2513087016"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2016.7551807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2016.7551807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Statistical Signal Processing Workshop (SSP)","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/A5053424993","display_name":"Musab T. S. Al-Kaltakchi","orcid":"https://orcid.org/0000-0001-5542-9144"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Musab T. S. Al-Kaltakchi","raw_affiliation_strings":["Newcastle University, Newcastle upon Tyne, Tyne and Wear, GB"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University, Newcastle upon Tyne, Tyne and Wear, GB","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084431277","display_name":"Wai Lok Woo","orcid":"https://orcid.org/0000-0002-8698-7605"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wai L. Woo","raw_affiliation_strings":["Newcastle University, Newcastle upon Tyne, Tyne and Wear, GB"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University, Newcastle upon Tyne, Tyne and Wear, GB","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111469348","display_name":"Satnam Dlay","orcid":null},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Satnam S. Dlay","raw_affiliation_strings":["Newcastle University, Newcastle upon Tyne, Tyne and Wear, GB"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University, Newcastle upon Tyne, Tyne and Wear, GB","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083892296","display_name":"Jonathon A. Chambers","orcid":"https://orcid.org/0000-0002-5820-6509"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jonathon A. Chambers","raw_affiliation_strings":["Newcastle University, Newcastle upon Tyne, Tyne and Wear, GB"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University, Newcastle upon Tyne, Tyne and Wear, GB","institution_ids":["https://openalex.org/I84884186"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I84884186"],"apc_list":null,"apc_paid":null,"fwci":4.4159,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.9504242,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9900000095367432,"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/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.7687342166900635},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6923497319221497},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6717126369476318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5854536890983582},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5737110376358032},{"id":"https://openalex.org/keywords/handset","display_name":"Handset","score":0.5694664120674133},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5234814882278442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5009949207305908},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.4468982517719269},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42498496174812317},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.40935683250427246},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.3210437297821045},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.24438995122909546}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.7687342166900635},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6923497319221497},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6717126369476318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5854536890983582},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5737110376358032},{"id":"https://openalex.org/C2779971919","wikidata":"https://www.wikidata.org/wiki/Q1378949","display_name":"Handset","level":2,"score":0.5694664120674133},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5234814882278442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5009949207305908},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.4468982517719269},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42498496174812317},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.40935683250427246},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.3210437297821045},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.24438995122909546},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssp.2016.7551807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2016.7551807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:nrl.northumbria.ac.uk:38864","is_oa":false,"landing_page_url":"http://nrl.northumbria.ac.uk/38864/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401884","display_name":"Northumbria Research Link (Northumbria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32394136","host_organization_name":"Northumbria University","host_organization_lineage":["https://openalex.org/I32394136"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1547166023","https://openalex.org/W1607274768","https://openalex.org/W1997689411","https://openalex.org/W2006384862","https://openalex.org/W2007645738","https://openalex.org/W2030937226","https://openalex.org/W2031585553","https://openalex.org/W2048014685","https://openalex.org/W2055611715","https://openalex.org/W2080794664","https://openalex.org/W2089810766","https://openalex.org/W2121061347","https://openalex.org/W2122040813","https://openalex.org/W2156742190","https://openalex.org/W2171903461","https://openalex.org/W2334935959"],"related_works":["https://openalex.org/W80423236","https://openalex.org/W2361118838","https://openalex.org/W1893243848","https://openalex.org/W2252457306","https://openalex.org/W1974392290","https://openalex.org/W3103566292","https://openalex.org/W1607924090","https://openalex.org/W2413040788","https://openalex.org/W2048014685","https://openalex.org/W2057635330"],"abstract_inverted_index":{"In":[0,50],"this":[1],"paper,":[2],"the":[3,43,90,96,100,108,116],"statistical":[4],"combination":[5,109],"of":[6,45,53,110,118],"Power":[7],"Normalization":[8],"Cepstral":[9,15],"Coefficient":[10,16],"(PNCC)":[11],"and":[12,29,47,55,112,120],"Mel":[13],"Frequency":[14],"(MFCC)":[17],"features":[18,114],"in":[19,42,89,102,115],"robust":[20],"closed":[21],"set":[22],"speaker":[23],"identification":[24],"is":[25,83],"studied.":[26],"Feature":[27],"normalization":[28],"warping":[30],"together":[31],"with":[32,60],"late":[33,63],"score-based":[34],"fusion":[35],"are":[36,58],"also":[37],"exploited":[38],"to":[39,85],"improve":[40],"performance":[41],"presence":[44,117],"channel":[46],"noise":[48],"effects.":[49,126],"addition,":[51],"combinations":[52],"score":[54],"feature-based":[56],"approaches":[57],"considered":[59],"early":[61],"and/or":[62],"fusion;":[64],"these":[65],"systems":[66],"use":[67],"different":[68],"feature":[69],"dimensions":[70],"(16,":[71],"32).":[72],"A":[73],"4":[74],"<sup":[75],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[76],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">th</sup>":[77],"order":[78],"G.712":[79],"type":[80],"IIR":[81],"filter":[82],"employed":[84],"represent":[86],"handset":[87,119],"degradation":[88],"channel.":[91],"Simulation":[92],"studies":[93],"based":[94],"on":[95],"TIMIT":[97],"database":[98],"confirm":[99],"improvement":[101],"Speaker":[103],"Identification":[104],"Accuracy":[105],"(SIA)":[106],"through":[107],"PNCC":[111],"MFCC":[113],"Additive":[121],"White":[122],"Gaussian":[123],"Noise":[124],"(AWGN)":[125]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}