{"id":"https://openalex.org/W2158445640","doi":"https://doi.org/10.1145/1102256.1102296","title":"Text-independent open-set speaker identification for military missions using genetic rule-based system","display_name":"Text-independent open-set speaker identification for military missions using genetic rule-based system","publication_year":2005,"publication_date":"2005-06-25","ids":{"openalex":"https://openalex.org/W2158445640","doi":"https://doi.org/10.1145/1102256.1102296","mag":"2158445640"},"language":"en","primary_location":{"id":"doi:10.1145/1102256.1102296","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1102256.1102296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual workshop on Genetic and evolutionary computation","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/A5101635029","display_name":"Jae C. Oh","orcid":"https://orcid.org/0000-0002-5842-5189"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jae C. Oh","raw_affiliation_strings":["Syracuse University, Syracuse, NY"],"affiliations":[{"raw_affiliation_string":"Syracuse University, Syracuse, NY","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044668839","display_name":"Misty Blowers","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Misty Blowers","raw_affiliation_strings":["AFRL/IFEC, Rome, NY"],"affiliations":[{"raw_affiliation_string":"AFRL/IFEC, Rome, NY","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101635029"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16058376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"172","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9898999929428101,"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9458000063896179,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7899856567382812},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7168411612510681},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6169371604919434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5700398683547974},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.5567768812179565},{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.5454621315002441},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.5147061944007874},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5106742978096008},{"id":"https://openalex.org/keywords/speaker-identification","display_name":"Speaker identification","score":0.4473263621330261},{"id":"https://openalex.org/keywords/speaker-verification","display_name":"Speaker verification","score":0.4293368458747864},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4266124963760376},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4083670973777771},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3636683225631714},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.31751036643981934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07168421149253845}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7899856567382812},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7168411612510681},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6169371604919434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5700398683547974},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.5567768812179565},{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.5454621315002441},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.5147061944007874},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5106742978096008},{"id":"https://openalex.org/C2986627078","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker identification","level":3,"score":0.4473263621330261},{"id":"https://openalex.org/C2982762665","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker verification","level":3,"score":0.4293368458747864},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4266124963760376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4083670973777771},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3636683225631714},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31751036643981934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07168421149253845},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1102256.1102296","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1102256.1102296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual workshop on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.153.1306","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.1306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005wks/papers/0172.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309532","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1522037128","https://openalex.org/W1560013842","https://openalex.org/W2043003550","https://openalex.org/W2137762954","https://openalex.org/W2154196755","https://openalex.org/W2477329842","https://openalex.org/W2895774836","https://openalex.org/W6633431331"],"related_works":["https://openalex.org/W3119288895","https://openalex.org/W4234190324","https://openalex.org/W1521299571","https://openalex.org/W2185075503","https://openalex.org/W4235705411","https://openalex.org/W4396668120","https://openalex.org/W2003046775","https://openalex.org/W4229940372","https://openalex.org/W2186375278","https://openalex.org/W66821593"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2],"genetic":[3],"classifier":[4,36],"system":[5],"approach":[6],"to":[7],"the":[8,43,46,57,66],"textindependent":[9],"open-set":[10,67],"speaker":[11,59],"identification":[12,60],"problem.":[13],"Classifier":[14],"systems":[15,37],"are":[16,38],"widely":[17],"used":[18],"in":[19],"symbolic":[20],"problem":[21,68],"for":[22],"dynamically":[23],"changing":[24],"open-ended":[25],"learning.":[26],"Signal":[27],"processing":[28,31],"problems":[29],"require":[30],"of":[32],"real-valued":[33],"parameters":[34],"that":[35],"not":[39],"designed":[40],"for.":[41],"On":[42],"other":[44],"hand,":[45],"approaches":[47],"based":[48],"on":[49],"common":[50],"cepstral":[51],"encoding":[52],"with":[53],"clustering":[54],"algorithms":[55],"handle":[56],"closed-set":[58],"quite":[61],"well.":[62],"This":[63],"research":[64],"solves":[65],"by":[69],"hybridizing":[70],"these":[71],"two":[72],"approaches.":[73]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}