{"id":"https://openalex.org/W1964774883","doi":"https://doi.org/10.1109/fskd.2010.5569350","title":"Speaker identification based on a novel TDS","display_name":"Speaker identification based on a novel TDS","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W1964774883","doi":"https://doi.org/10.1109/fskd.2010.5569350","mag":"1964774883"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2010.5569350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569350","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","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/A5054457588","display_name":"Lingxia Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lingxia Hu","raw_affiliation_strings":["Department of Information Engineering, Zhongshan Torch Polytechnic, Zhongshan, China","Department of Information Engineering, Zhongshan Torch Polytechnic, 528436, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Zhongshan Torch Polytechnic, Zhongshan, China","institution_ids":[]},{"raw_affiliation_string":"Department of Information Engineering, Zhongshan Torch Polytechnic, 528436, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665614","display_name":"Xueyan Liu","orcid":"https://orcid.org/0000-0001-8918-0148"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xueyan Liu","raw_affiliation_strings":["Department of Information Engineering, Zhongshan Torch Polytechnic, Zhongshan, China","Department of Information Engineering, Zhongshan Torch Polytechnic, 528436, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Zhongshan Torch Polytechnic, Zhongshan, China","institution_ids":[]},{"raw_affiliation_string":"Department of Information Engineering, Zhongshan Torch Polytechnic, 528436, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016407113","display_name":"Lianghui Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lianghui Xiao","raw_affiliation_strings":["Department of Information Engineering, Zhongshan Torch Polytechnic, Zhongshan, China","Department of Information Engineering, Zhongshan Torch Polytechnic, 528436, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Zhongshan Torch Polytechnic, Zhongshan, China","institution_ids":[]},{"raw_affiliation_string":"Department of Information Engineering, Zhongshan Torch Polytechnic, 528436, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054457588"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16951297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1573","last_page":"1577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9923999905586243,"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":0.9923999905586243,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.975600004196167,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7549893856048584},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6980338096618652},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6953529715538025},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6646100282669067},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5661850571632385},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5580797791481018},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5480154752731323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5452902317047119},{"id":"https://openalex.org/keywords/speaker-identification","display_name":"Speaker identification","score":0.4872385561466217},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4416186809539795},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.414658784866333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40382468700408936},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.37466222047805786},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3689073622226715},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3544465899467468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7549893856048584},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6980338096618652},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6953529715538025},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6646100282669067},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5661850571632385},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5580797791481018},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5480154752731323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5452902317047119},{"id":"https://openalex.org/C2986627078","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker identification","level":3,"score":0.4872385561466217},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4416186809539795},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.414658784866333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40382468700408936},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.37466222047805786},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3689073622226715},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3544465899467468},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2010.5569350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569350","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","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":13,"referenced_works":["https://openalex.org/W1561278817","https://openalex.org/W1621799579","https://openalex.org/W2104802523","https://openalex.org/W2110572210","https://openalex.org/W2136824894","https://openalex.org/W2137569162","https://openalex.org/W2139212933","https://openalex.org/W2146939242","https://openalex.org/W2165701006","https://openalex.org/W2534837439","https://openalex.org/W2544318063","https://openalex.org/W6636522192","https://openalex.org/W6676533449"],"related_works":["https://openalex.org/W4234190324","https://openalex.org/W4396668120","https://openalex.org/W2126085626","https://openalex.org/W36105149","https://openalex.org/W2545131480","https://openalex.org/W1973693762","https://openalex.org/W208363076","https://openalex.org/W4230495983","https://openalex.org/W2887000230","https://openalex.org/W2141917278"],"abstract_inverted_index":{"SVM":[0,10],"has":[1,67,121],"been":[2],"used":[3,91],"in":[4,61],"speaker":[5,34],"identification":[6,35,123],"successfully,":[7],"whereas":[8],"training":[9,20,24,102,108],"consumes":[11],"long":[12],"computing":[13],"time":[14],"and":[15,48,86,110,117,125],"large":[16],"memory":[17],"with":[18],"all":[19],"data,":[21],"therefore":[22],"the":[23,46,71,80,83,88,94,107,111,118],"data":[25,96,109],"selection":[26,74],"(TDS)":[27],"is":[28,54,76,90],"an":[29],"important":[30],"step":[31],"for":[32],"effective":[33],"system.":[36],"In":[37],"this":[38,58],"paper,":[39],"a":[40],"novel":[41],"TDS":[42,65],"method":[43,66],"based":[44],"on":[45],"PCA":[47],"improved":[49],"ant":[50],"colony":[51],"cluster":[52,99],"(IACC)":[53],"proposed":[55,64,119],"to":[56,78,92,100],"solve":[57],"problem":[59],"existed":[60],"SVM.":[62],"The":[63],"two":[68],"steps.":[69],"Firstly,":[70],"PCA-based":[72],"feature":[73],"approach":[75],"exploited":[77],"reduce":[79],"dimension":[81],"of":[82,97],"input":[84],"vectors,":[85],"then":[87],"IACC":[89],"select":[93],"center":[95],"each":[98],"reduced":[101,115],"data.":[103],"Experimental":[104],"results":[105],"show":[106],"storage":[112],"can":[113],"be":[114],"greatly,":[116],"system":[120],"better":[122],"performance":[124],"robustness":[126],"than":[127],"other":[128],"model.":[129]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
