{"id":"https://openalex.org/W2063330466","doi":"https://doi.org/10.1109/ssd.2014.6808815","title":"Improved closed set text independent speaker identification system using Gammachirp Filterbank in noisy environments","display_name":"Improved closed set text independent speaker identification system using Gammachirp Filterbank in noisy environments","publication_year":2014,"publication_date":"2014-02-01","ids":{"openalex":"https://openalex.org/W2063330466","doi":"https://doi.org/10.1109/ssd.2014.6808815","mag":"2063330466"},"language":"en","primary_location":{"id":"doi:10.1109/ssd.2014.6808815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2014.6808815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Multi-Conference on Systems, Signals &amp; Devices (SSD14)","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/A5074179507","display_name":"Amina Ben Abdallah","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]},{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["TN","US"],"is_corresponding":true,"raw_author_name":"Amina Ben Abdallah","raw_affiliation_strings":["Laboratory of Systems and Signal Processing, National Engineering School of Tunis, TUNISIA","Lab. of Syst. & Signal Process., Nat. Eng. Sch. of Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Laboratory of Systems and Signal Processing, National Engineering School of Tunis, TUNISIA","institution_ids":["https://openalex.org/I4210131288","https://openalex.org/I4210121626"]},{"raw_affiliation_string":"Lab. of Syst. & Signal Process., Nat. Eng. Sch. of Tunis, Tunis, Tunisia","institution_ids":["https://openalex.org/I4210131288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059978441","display_name":"Zied Hajaiej","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]},{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["TN","US"],"is_corresponding":false,"raw_author_name":"Zied Hajaiej","raw_affiliation_strings":["Laboratory of Systems and Signal Processing, National Engineering School of Tunis, TUNISIA","Lab. of Syst. & Signal Process., Nat. Eng. Sch. of Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Laboratory of Systems and Signal Processing, National Engineering School of Tunis, TUNISIA","institution_ids":["https://openalex.org/I4210131288","https://openalex.org/I4210121626"]},{"raw_affiliation_string":"Lab. of Syst. & Signal Process., Nat. Eng. Sch. of Tunis, Tunis, Tunisia","institution_ids":["https://openalex.org/I4210131288"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074179507"],"corresponding_institution_ids":["https://openalex.org/I4210121626","https://openalex.org/I4210131288"],"apc_list":null,"apc_paid":null,"fwci":1.227,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8474188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"64","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":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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":0.989799976348877,"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/speech-recognition","display_name":"Speech recognition","score":0.7768296599388123},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.7315371632575989},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.7202185392379761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961181163787842},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.525075376033783},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.46966230869293213},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4661378264427185},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4572219252586365},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4365552067756653},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4203481674194336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.367997944355011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3405342400074005},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3096129894256592},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14893805980682373},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1378622055053711},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07466939091682434}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7768296599388123},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.7315371632575989},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.7202185392379761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961181163787842},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.525075376033783},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.46966230869293213},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4661378264427185},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4572219252586365},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4365552067756653},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4203481674194336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.367997944355011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3405342400074005},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3096129894256592},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14893805980682373},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1378622055053711},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07466939091682434},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssd.2014.6808815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2014.6808815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Multi-Conference on Systems, Signals &amp; Devices (SSD14)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1510695489","https://openalex.org/W1793187562","https://openalex.org/W1974387177","https://openalex.org/W1977946875","https://openalex.org/W2014408663","https://openalex.org/W2033708670","https://openalex.org/W2035826164","https://openalex.org/W2036073040","https://openalex.org/W2040266692","https://openalex.org/W2042058327","https://openalex.org/W2050758723","https://openalex.org/W2103250316","https://openalex.org/W2125838338","https://openalex.org/W2129244720","https://openalex.org/W2131673591","https://openalex.org/W2133671888","https://openalex.org/W3127686677","https://openalex.org/W4214871172","https://openalex.org/W4235133917"],"related_works":["https://openalex.org/W2766680336","https://openalex.org/W4289830142","https://openalex.org/W2133320490","https://openalex.org/W2125446021","https://openalex.org/W3150393935","https://openalex.org/W2980055100","https://openalex.org/W2186790562","https://openalex.org/W1497065097","https://openalex.org/W2548564146","https://openalex.org/W2186375278"],"abstract_inverted_index":{"Several":[0],"modern":[1],"speaker":[2,30,109],"recognition":[3,110],"systems":[4],"use":[5],"a":[6,88],"bank":[7],"of":[8,19,40,99],"linear":[9],"filters":[10],"as":[11],"the":[12,23,29,38,58,66,71,80,97],"primary":[13],"step":[14],"in":[15],"performing":[16],"frequency":[17,73],"analysis":[18],"speech":[20,46],"and":[21,63,96,135],"extracting":[22,52],"acoustics":[24],"parameters":[25,54],"that":[26],"permit":[27],"characterizing":[28],"identity.":[31],"In":[32],"this":[33],"paper":[34],"we":[35],"point":[36],"up":[37],"employ":[39],"novel":[41],"feature":[42],"set":[43],"extracted":[44],"from":[45,138],"signal.":[47],"The":[48],"new":[49],"skill":[50],"for":[51,106,112],"these":[53,100],"is":[55],"based":[56],"on":[57,65],"human":[59],"auditory":[60],"system":[61],"characteristics":[62],"relies":[64],"Gammachirp":[67],"Filterbank":[68],"to":[69,79],"imitate":[70],"cochlea":[72],"resolution":[74,77],"with":[75,93,120],"nonlinear":[76],"according":[78],"equivalent":[81],"rectangular":[82],"bandwidth":[83],"(ERB)":[84],"scale.":[85],"For":[86],"evaluation":[87],"comparative":[89],"study":[90],"was":[91],"operated":[92],"standard":[94],"MFCC,":[95],"effect":[98],"differences":[101],"using":[102],"an":[103],"usual":[104],"HMM/GMM":[105],"text":[107],"independent":[108],"system,":[111],"noisy":[113],"environments.":[114],"Performances":[115],"were":[116,126,142],"test":[117],"database":[118],"contaminated":[119],"additive":[121],"noise":[122,129,134,137],"different":[123,146],"real-environment":[124],"noises":[125],"used:":[127],"car":[128],"provided":[130],"by":[131],"Volvo,":[132],"factory":[133],"white":[136],"Noisex92":[139],"[1].":[140],"Tests":[141],"carried":[143],"out":[144],"at":[145],"SNR":[147],"levels":[148],"(\u22123dB,":[149],"0dB,":[150],"3dB,":[151],"6dB,":[152],"12dB).":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
