{"id":"https://openalex.org/W195194123","doi":"https://doi.org/10.21437/eurospeech.1995-106","title":"Multi-state predictive neural networks for text-independent speaker recognition","display_name":"Multi-state predictive neural networks for text-independent speaker recognition","publication_year":1995,"publication_date":"1995-09-18","ids":{"openalex":"https://openalex.org/W195194123","doi":"https://doi.org/10.21437/eurospeech.1995-106","mag":"195194123"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.1995-106","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1995-106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"4th European Conference on Speech Communication and Technology (Eurospeech 1995)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013593379","display_name":"Thierry Arti\u00e8res","orcid":"https://orcid.org/0000-0003-3696-0321"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Artieres","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113667126","display_name":"Patrick Gallinari","orcid":"https://orcid.org/0000-0003-3360-8269"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patrick Gallinari","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7593,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64818101,"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":"633","last_page":"636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9993000030517578,"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":0.9993000030517578,"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/T10320","display_name":"Neural Networks and Applications","score":0.9891999959945679,"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":0.9861999750137329,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.8485020399093628},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.7503829002380371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7457973957061768},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.670799732208252},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6445557475090027},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.6066955327987671},{"id":"https://openalex.org/keywords/speaker-identification","display_name":"Speaker identification","score":0.544442355632782},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5206959843635559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47496864199638367},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.47193071246147156},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.42485561966896057},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4210142493247986},{"id":"https://openalex.org/keywords/ergodic-theory","display_name":"Ergodic theory","score":0.42040741443634033},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4203307330608368},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.3418843746185303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31999585032463074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09620127081871033},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08199048042297363}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8485020399093628},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.7503829002380371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7457973957061768},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.670799732208252},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6445557475090027},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.6066955327987671},{"id":"https://openalex.org/C2986627078","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker identification","level":3,"score":0.544442355632782},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5206959843635559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47496864199638367},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.47193071246147156},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.42485561966896057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4210142493247986},{"id":"https://openalex.org/C122044880","wikidata":"https://www.wikidata.org/wiki/Q5498822","display_name":"Ergodic theory","level":2,"score":0.42040741443634033},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4203307330608368},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.3418843746185303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31999585032463074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09620127081871033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08199048042297363},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/eurospeech.1995-106","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1995-106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"4th European Conference on Speech Communication and Technology (Eurospeech 1995)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.43.6981","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.43.6981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-connex.lip6.fr/Articles/artieres-eurospeech95.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.550000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W6468149","https://openalex.org/W43891832","https://openalex.org/W2006712587","https://openalex.org/W2037720124","https://openalex.org/W2071184151","https://openalex.org/W2123198035","https://openalex.org/W2148100532","https://openalex.org/W2148776466"],"related_works":["https://openalex.org/W4234190324","https://openalex.org/W2092874659","https://openalex.org/W4396668120","https://openalex.org/W2126085626","https://openalex.org/W36105149","https://openalex.org/W2162416585","https://openalex.org/W2545131480","https://openalex.org/W1973693762","https://openalex.org/W208363076","https://openalex.org/W4230495983"],"abstract_inverted_index":{"Both":[0],"Hidden":[1],"Markov":[2,27,34],"Models":[3,28],"and":[4,60,136],"Neural":[5],"Networks":[6],"have":[7,87],"already":[8],"been":[9],"used":[10],"as":[11,120],"production":[12],"systems":[13,132],"for":[14,40,77,90,133],"speaker":[15,41,79,134],"identification":[16,135],"or":[17],"verification.":[18],"Recently":[19],"[9]":[20],"has":[21],"shown":[22,88],"that":[23,47],"ergodic":[24],"multi-state":[25,121,141],"hidden":[26],"do":[29],"not":[30,61],"outperform":[31],"one-state":[32,143],"\"hidden\"":[33],"Models,":[35,39],"i.e.":[36],"Gaussian":[37],"Mixture":[38],"recognition.":[42,80],"She":[43],"put":[44],"in":[45,109],"evidence":[46],"the":[48,55,62,82,102,110,128,138],"important":[49],"characteristic":[50],"of":[51,58,64,74,95,112,130,140],"these":[52,131],"models":[53,114],"is":[54],"total":[56],"number":[57,63],"mixtures":[59],"states.":[65],"These":[66],"HMMs":[67],"are":[68,106],"thus":[69],"unable":[70],"to":[71,99,119],"make":[72],"use":[73],"temporal":[75],"information":[76],"performing":[78],"On":[81],"other":[83],"hand,":[84],"recent":[85],"experiments":[86],"that,":[89],"neural":[91,123],"predictive":[92,122],"systems,":[93],"modelization":[94],"non":[96],"stationarity":[97],"allowed":[98],"significantly":[100],"improve":[101],"performances":[103],"[6].":[104],"We":[105,126,145],"interested":[107],"here":[108],"development":[111],"such":[113],"which":[115],"will":[116],"be":[117],"refereed":[118],"networks":[124],"(MSPNNs).":[125],"study":[127],"ability":[129],"discuss":[137],"superiority":[139],"upon":[142],"models.":[144],"provide":[146],"results...":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
