{"id":"https://openalex.org/W2036568771","doi":"https://doi.org/10.1109/acpr.2011.6166667","title":"Acoustic model topology optimization using evolutionary methods","display_name":"Acoustic model topology optimization using evolutionary methods","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2036568771","doi":"https://doi.org/10.1109/acpr.2011.6166667","mag":"2036568771"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2011.6166667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","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/A5007989393","display_name":"Xirimo Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xirimo Bao","raw_affiliation_strings":["School of Computer Science, Inner Mongolia University for the Nationalities, Huhhot, China","School of Computer Science, Inner Mongolia University,Huhhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Inner Mongolia University for the Nationalities, Huhhot, China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"School of Computer Science, Inner Mongolia University,Huhhot,China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076174513","display_name":"Guanglai Gao","orcid":"https://orcid.org/0009-0005-5513-1192"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglai Gao","raw_affiliation_strings":["School of Computer Science, Inner Mongolia University for the Nationalities, Huhhot, China","School of Computer Science, Inner Mongolia University,Huhhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Inner Mongolia University for the Nationalities, Huhhot, China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"School of Computer Science, Inner Mongolia University,Huhhot,China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"4274","issue":null,"first_page":"355","last_page":"361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9987999796867371,"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/T10860","display_name":"Speech and Audio Processing","score":0.9962000250816345,"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/T10320","display_name":"Neural Networks and Applications","score":0.98089998960495,"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/network-topology","display_name":"Network topology","score":0.7488889098167419},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6979928016662598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6404191255569458},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5515031814575195},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4900468587875366},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4714711010456085},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.45142027735710144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45023852586746216},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4310782253742218},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.4282745122909546},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40917885303497314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3539472818374634},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22261115908622742},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21569517254829407}],"concepts":[{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.7488889098167419},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6979928016662598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6404191255569458},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5515031814575195},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4900468587875366},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4714711010456085},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.45142027735710144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45023852586746216},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4310782253742218},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.4282745122909546},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40917885303497314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3539472818374634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22261115908622742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21569517254829407},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2011.6166667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W20929421","https://openalex.org/W51652730","https://openalex.org/W168715202","https://openalex.org/W1511250485","https://openalex.org/W1535593643","https://openalex.org/W1564617068","https://openalex.org/W1600366866","https://openalex.org/W1601323920","https://openalex.org/W1982147649","https://openalex.org/W2021527368","https://openalex.org/W2083296885","https://openalex.org/W2086694237","https://openalex.org/W2102770307","https://openalex.org/W2109364787","https://openalex.org/W2125838338","https://openalex.org/W2128077864","https://openalex.org/W2129531883","https://openalex.org/W2133750237","https://openalex.org/W2134523851","https://openalex.org/W2141327721","https://openalex.org/W2143109615","https://openalex.org/W2143326996","https://openalex.org/W2546168505","https://openalex.org/W4252799283","https://openalex.org/W6600837163","https://openalex.org/W6602068693","https://openalex.org/W6606802831","https://openalex.org/W6632136382","https://openalex.org/W6635897165"],"related_works":["https://openalex.org/W3106461837","https://openalex.org/W2086397253","https://openalex.org/W4283700523","https://openalex.org/W3168182983","https://openalex.org/W2133122801","https://openalex.org/W4387079005","https://openalex.org/W4321472004","https://openalex.org/W4221166418","https://openalex.org/W600422426","https://openalex.org/W2968265130"],"abstract_inverted_index":{"Currently,":[0],"most":[1],"of":[2,34,49,95,101,106,114,118,163,170],"the":[3,32,37,41,46,93,139,171],"acoustic":[4,57,87],"model":[5,58,88,122],"selection":[6],"work":[7],"is":[8],"done":[9],"empirically":[10],"or":[11,13],"heuristically":[12],"even":[14],"arbitrarily.":[15],"In":[16],"this":[17],"paper,":[18],"Genetic":[19],"Algorithm":[20],"(GA)":[21],"based":[22,28],"and":[23,36,44,60,67,78,127,147],"Particle":[24],"Swarm":[25],"Optimization":[26],"(PSO)":[27],"algorithms":[29,80,103,129],"that":[30],"consider":[31],"number":[33,113],"states":[35,42],"kernel":[38],"numbers":[39],"for":[40],"simultaneously":[43],"reject":[45],"uniform":[47],"allocation":[48],"Gaussian":[50],"kernels":[51],"are":[52,64,81,104],"proposed":[53],"to":[54,84,92],"automatically":[55,85],"optimize":[56,86],"topologies,":[59],"some":[61],"relevant":[62],"issues":[63],"also":[65],"analyzed":[66],"resolved.":[68],"Experiments":[69],"on":[70],"TIDigits":[71],"corpus":[72],"show":[73],"that:":[74],"first,":[75],"our":[76,102,119,164],"GA-based":[77,126],"PSO-based":[79,128],"effective":[82],"methods":[83],"topologies;":[89],"second,":[90],"due":[91],"use":[94],"Bayesian":[96],"Information":[97],"Criterion":[98],"(BIC),":[99],"both":[100,117,162],"capable":[105],"achieving":[107],"higher":[108],"recognition":[109,135,160],"performance":[110],"with":[111,121,138,155],"smaller":[112],"parameters.":[115,172],"Specifically,":[116],"systems":[120,141,157,166],"topologies":[123],"optimized":[124,165],"using":[125],"respectively":[130],"obtain":[131],"much":[132],"increase":[133],"in":[134,143],"performances":[136],"compared":[137,154],"baseline":[140,156],"constructed":[142],"a":[144],"conventional":[145],"way":[146],"having":[148,158],"same":[149,159],"system":[150],"complexities;":[151],"moreover,":[152],"if":[153],"performances,":[161],"save":[167],"approximate":[168],"half":[169]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}