{"id":"https://openalex.org/W135608608","doi":"https://doi.org/10.21437/eurospeech.2003-479","title":"Locally recurrent probabilistic neural network for text-independent speaker verification","display_name":"Locally recurrent probabilistic neural network for text-independent speaker verification","publication_year":2003,"publication_date":"2003-09-01","ids":{"openalex":"https://openalex.org/W135608608","doi":"https://doi.org/10.21437/eurospeech.2003-479","mag":"135608608"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2003-479","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","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/A5084928583","display_name":"Todor Ganchev","orcid":"https://orcid.org/0000-0003-0384-4033"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Todor Ganchev","raw_affiliation_strings":["University of Patras;"],"affiliations":[{"raw_affiliation_string":"University of Patras;","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111466082","display_name":"Dimitris K. Tasoulis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dimitris K. Tasoulis","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044810424","display_name":"Michael N. Vrahatis","orcid":"https://orcid.org/0000-0001-8357-7435"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael N. Vrahatis","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108443941","display_name":"Nikos Fakotakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nikos Fakotakis","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084928583"],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":null,"apc_paid":null,"fwci":2.8078,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.9067095,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1673","last_page":"1676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9973999857902527,"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/T10320","display_name":"Neural Networks and Applications","score":0.9973999857902527,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9872999787330627,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9854999780654907,"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":0.8075236678123474},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6991162300109863},{"id":"https://openalex.org/keywords/speaker-verification","display_name":"Speaker verification","score":0.6831051111221313},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5643268823623657},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.48241767287254333},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.47806861996650696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47518765926361084},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.45136263966560364},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3286750316619873},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.32102829217910767},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.31994128227233887}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8075236678123474},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6991162300109863},{"id":"https://openalex.org/C2982762665","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker verification","level":3,"score":0.6831051111221313},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5643268823623657},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.48241767287254333},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.47806861996650696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47518765926361084},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.45136263966560364},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3286750316619873},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.32102829217910767},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.31994128227233887}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/eurospeech.2003-479","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.3.6541","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.6541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.math.upatras.gr/~dtas/papers/GanchevTVF2003.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4399999976158142,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1484946637","https://openalex.org/W1595159159","https://openalex.org/W1964168965","https://openalex.org/W1998674867","https://openalex.org/W2115072676","https://openalex.org/W2126854862","https://openalex.org/W2170258954","https://openalex.org/W3137715965"],"related_works":["https://openalex.org/W4235705411","https://openalex.org/W1521299571","https://openalex.org/W3141593045","https://openalex.org/W2134501921","https://openalex.org/W204267554","https://openalex.org/W2147062549","https://openalex.org/W4252590334","https://openalex.org/W1595652908","https://openalex.org/W4317103504","https://openalex.org/W2950022897"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"Locally":[3],"Recurrent":[4],"Probabilistic":[5,15],"Neural":[6,16],"Networks":[7,17],"(LRPNN)":[8],"as":[9],"an":[10],"extension":[11],"of":[12,38,48,68,86,93],"the":[13,29,46,49,66,72,78,84,91],"well-known":[14],"(PNN).":[18],"A":[19],"LRPNN,":[20],"in":[21,31],"contrast":[22],"to":[23,28,65],"a":[24,52],"PNN,":[25],"is":[26,43,57,75,97],"sensitive":[27],"context":[30],"which":[32],"events":[33],"occur,":[34],"and":[35],"therefore,":[36],"identification":[37],"time":[39],"or":[40],"spatial":[41],"correlations":[42],"attainable.":[44],"Besides":[45],"definition":[47],"LRPNN":[50],"architecture":[51],"fast":[53],"three-step":[54],"training":[55,67],"method":[56],"proposed.":[58],"The":[59],"first":[60],"two":[61],"steps":[62],"are":[63],"identical":[64],"traditional":[69],"PNNs,":[70],"while":[71],"third":[73],"step":[74],"based":[76],"on":[77,90],"Differential":[79],"Evolution":[80],"optimization":[81],"method.":[82],"Finally,":[83],"superiority":[85],"LRPNNs":[87],"over":[88],"PNNs":[89],"task":[92],"text-independent":[94],"speaker":[95],"verification":[96],"demonstrated.":[98]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
