{"id":"https://openalex.org/W2004740791","doi":"https://doi.org/10.1109/ijcnn.2013.6706863","title":"Speaker recognition based on SOINN and incremental learning Gaussian mixture model","display_name":"Speaker recognition based on SOINN and incremental learning Gaussian mixture model","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2004740791","doi":"https://doi.org/10.1109/ijcnn.2013.6706863","mag":"2004740791"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2013.6706863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","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/A5013474576","display_name":"Zelin Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zelin Tang","raw_affiliation_strings":["Department of Computer Science and Technology, Nanjing University, China","dept. of Computer Science and Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Nanjing University, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"dept. of Computer Science and Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108680072","display_name":"Furao Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Furao Shen","raw_affiliation_strings":["Department of Computer Science and Technology, Nanjing University, China","dept. of Computer Science and Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Nanjing University, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"dept. of Computer Science and Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102923053","display_name":"Jinxi Zhao","orcid":"https://orcid.org/0009-0009-7662-7137"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxi Zhao","raw_affiliation_strings":["Department of Computer Science and Technology, Nanjing University, China","dept. of Computer Science and Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Nanjing University, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"dept. of Computer Science and Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013474576"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.4809,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74923617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9958999752998352,"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":0.9958999752998352,"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":0.9753999710083008,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9732000231742859,"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/mixture-model","display_name":"Mixture model","score":0.8349368572235107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7924344539642334},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6947773098945618},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.6569570302963257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6098520755767822},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5338152050971985},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.513969361782074},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5132520198822021},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4920479953289032},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4741501212120056},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.46381399035453796},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4516425132751465},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4368918538093567},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4365474581718445},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.40336787700653076}],"concepts":[{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.8349368572235107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7924344539642334},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6947773098945618},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.6569570302963257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6098520755767822},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5338152050971985},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.513969361782074},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5132520198822021},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4920479953289032},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4741501212120056},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.46381399035453796},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4516425132751465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4368918538093567},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4365474581718445},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.40336787700653076},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2013.6706863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W172790201","https://openalex.org/W1545632541","https://openalex.org/W1949782964","https://openalex.org/W2041823554","https://openalex.org/W2049633694","https://openalex.org/W2061761368","https://openalex.org/W2098471762","https://openalex.org/W2100969003","https://openalex.org/W2117605913","https://openalex.org/W2136044422","https://openalex.org/W2146871184","https://openalex.org/W2147147599","https://openalex.org/W2148154194","https://openalex.org/W2150159007","https://openalex.org/W2152402526","https://openalex.org/W2165880886","https://openalex.org/W2198735866","https://openalex.org/W3129711340","https://openalex.org/W6688068256","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W1197719229","https://openalex.org/W2381158726","https://openalex.org/W1992796048","https://openalex.org/W2129090883","https://openalex.org/W1516392727","https://openalex.org/W2379906719","https://openalex.org/W2181956362","https://openalex.org/W2136153680","https://openalex.org/W2972577568","https://openalex.org/W2148323604"],"abstract_inverted_index":{"Gaussian":[0,42],"Mixture":[1],"Models":[2],"has":[3],"been":[4],"widely":[5],"used":[6],"in":[7,48,117,147],"speaker":[8,55],"recognition":[9,56],"during":[10],"the":[11,17,27,91,109,114,130,150],"last":[12],"decades.":[13],"To":[14],"deal":[15],"with":[16],"dynamic":[18],"growth":[19],"of":[20,29,106,149],"datasets,":[21],"initial":[22,85,92],"clustering":[23,30],"problem":[24],"and":[25,67,83,98,124,143],"achieving":[26],"results":[28,137],"effectively":[31],"on":[32,59,129],"incremental":[33,36,40],"data,":[34],"an":[35],"adaptation":[37,146],"method":[38],"called":[39],"learning":[41],"mixture":[43,81],"model":[44,110],"(IGMM)":[45],"is":[46,72,94],"proposed":[47],"this":[49],"paper.":[50],"It":[51],"was":[52],"applied":[53],"to":[54,113,120],"system":[57],"based":[58],"Self":[60],"Organization":[61],"Incremental":[62],"Learning":[63],"Neural":[64,74],"Network":[65,75],"(SOINN)":[66],"improved":[68],"EM":[69,99],"algorithm.":[70],"SOINN":[71,97],"a":[73,79,103],"which":[76],"can":[77],"reach":[78],"suitable":[80],"number":[82],"appropriate":[84],"cluster":[86],"for":[87],"each":[88,118],"model.":[89],"First,":[90],"training":[93],"conducted":[95],"by":[96],"algorithm":[100],"only":[101],"need":[102],"limited":[104],"amount":[105],"data.":[107],"Then,":[108],"would":[111],"adapt":[112],"data":[115],"available":[116],"session":[119],"enrich":[121],"itself":[122],"incrementally":[123],"recursively.":[125],"Experiments":[126],"were":[127],"taken":[128],"1st":[131],"speech":[132],"separation":[133],"challenge":[134],"database.":[135],"The":[136],"show":[138],"that":[139],"IGMM":[140],"outperforms":[141],"GMM":[142],"classical":[144],"Bayesian":[145],"most":[148],"cases.":[151]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}