{"id":"https://openalex.org/W2629646","doi":"https://doi.org/10.21437/icslp.1998-407","title":"A proposed decision rule for speaker recognition based on fuzzy c-means clustering","display_name":"A proposed decision rule for speaker recognition based on fuzzy c-means clustering","publication_year":1998,"publication_date":"1998-11-30","ids":{"openalex":"https://openalex.org/W2629646","doi":"https://doi.org/10.21437/icslp.1998-407","mag":"2629646"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.1998-407","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1998-407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th International Conference on Spoken Language Processing (ICSLP 1998)","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/A5006197101","display_name":"Dat Tran","orcid":"https://orcid.org/0000-0002-5788-0446"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dat Tran","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071848456","display_name":"Michael Wagner","orcid":"https://orcid.org/0000-0003-2953-106X"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Wagner","raw_affiliation_strings":["University of Canberra;"],"affiliations":[{"raw_affiliation_string":"University of Canberra;","institution_ids":["https://openalex.org/I188329596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065680828","display_name":"Tu Van Le","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tu Van Le","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006197101"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.00034296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"paper 0797","last_page":"0"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9908000230789185,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9871000051498413,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.8588800430297852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6835030317306519},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.6234666705131531},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5909576416015625},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.5478758811950684},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5258073210716248},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.5061866641044617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5028895735740662},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.49565136432647705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4762677848339081},{"id":"https://openalex.org/keywords/decision-rule","display_name":"Decision rule","score":0.4537298381328583},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4458765983581543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4382432699203491},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4372177720069885},{"id":"https://openalex.org/keywords/rule-based-system","display_name":"Rule-based system","score":0.435543954372406},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43483906984329224},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.40632402896881104}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.8588800430297852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6835030317306519},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.6234666705131531},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5909576416015625},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.5478758811950684},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5258073210716248},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.5061866641044617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5028895735740662},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.49565136432647705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4762677848339081},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.4537298381328583},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4458765983581543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4382432699203491},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4372177720069885},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.435543954372406},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43483906984329224},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.40632402896881104},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/icslp.1998-407","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1998-407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th International Conference on Spoken Language Processing (ICSLP 1998)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.712.8526","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.712.8526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://staff.estem-uc.edu.au/mwagner/files/2014/04/TranEtAl_ProposedDecisionRuleForSpeakerRecognition_ICSLP_1998.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1504240446","https://openalex.org/W1561414385","https://openalex.org/W1965896286","https://openalex.org/W1966646189","https://openalex.org/W2006712587","https://openalex.org/W2113076747","https://openalex.org/W2131578006","https://openalex.org/W2134383396","https://openalex.org/W2243346488","https://openalex.org/W3017143921","https://openalex.org/W3148186152"],"related_works":["https://openalex.org/W2148772884","https://openalex.org/W2017514583","https://openalex.org/W2100120615","https://openalex.org/W2147406819","https://openalex.org/W2352648934","https://openalex.org/W1929869830","https://openalex.org/W2387054321","https://openalex.org/W2017401491","https://openalex.org/W2062765737","https://openalex.org/W2012827167"],"abstract_inverted_index":{"In":[0],"vector":[1],"quantisation":[2],"(VQ)":[3],"based":[4,38],"speaker":[5,28,89,92],"recognition,":[6],"the":[7,64,77,99],"minimum":[8,100],"overall":[9,66,101],"average":[10,67,102],"distortion":[11,103],"rule":[12,37,70,83],"is":[13,43,71,95],"used":[14,86],"as":[15,31,60],"a":[16,20,27,32],"criterion":[17],"to":[18,26],"assign":[19],"given":[21],"sequence":[22],"of":[23,50],"acoustic":[24],"vectors":[25,55],"model":[29],"known":[30],"codebook.":[33],"An":[34],"alternative":[35],"decision":[36],"on":[39],"fuzzy":[40],"c-means":[41],"clustering":[42],"proposed":[44],"in":[45,87],"this":[46,82],"paper.":[47],"A":[48],"set":[49],"membership":[51,68],"functions":[52,62],"associated":[53],"with":[54],"for":[56],"codebooks":[57],"are":[58],"defined":[59],"discriminant":[61],"and":[63,76,91],"maximum":[65],"function":[69],"stated.":[72],"The":[73],"theoretical":[74],"analysis":[75],"experimental":[78],"results":[79],"show":[80],"that":[81],"can":[84],"be":[85],"both":[88],"identification":[90],"verification.":[93],"It":[94],"more":[96],"effective":[97],"than":[98],"rule.":[104],"1.":[105]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}