{"id":"https://openalex.org/W2003750176","doi":"https://doi.org/10.1109/isspit.2013.6781851","title":"Dynamic Connection Strategies (DyConS) for spoken Malay speech recognition","display_name":"Dynamic Connection Strategies (DyConS) for spoken Malay speech recognition","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2003750176","doi":"https://doi.org/10.1109/isspit.2013.6781851","mag":"2003750176"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2013.6781851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2013.6781851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Symposium on Signal Processing and Information Technology","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/A5078214061","display_name":"Noraini Seman","orcid":"https://orcid.org/0000-0002-0661-4607"},"institutions":[{"id":"https://openalex.org/I4210138650","display_name":"Universiti Teknologi MARA System","ror":"https://ror.org/030847t23","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210138650"]},{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Noraini Seman","raw_affiliation_strings":["Department of Computer Science, MARA University of Technology (UiTM), Shah Alam, Selangor, MALAYSIA","Dept. of Comput. Sci., MARA Univ. of Technol. (UiTM), Shah Alam, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, MARA University of Technology (UiTM), Shah Alam, Selangor, MALAYSIA","institution_ids":["https://openalex.org/I4210138650","https://openalex.org/I82724352"]},{"raw_affiliation_string":"Dept. of Comput. Sci., MARA Univ. of Technol. (UiTM), Shah Alam, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012711018","display_name":"Nursuriati Jamil","orcid":"https://orcid.org/0000-0003-4634-9833"},"institutions":[{"id":"https://openalex.org/I4210138650","display_name":"Universiti Teknologi MARA System","ror":"https://ror.org/030847t23","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210138650"]},{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nursuriati Jamil","raw_affiliation_strings":["Department of Computer Science, MARA University of Technology (UiTM), Shah Alam, Selangor, MALAYSIA","Dept. of Comput. Sci., MARA Univ. of Technol. (UiTM), Shah Alam, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, MARA University of Technology (UiTM), Shah Alam, Selangor, MALAYSIA","institution_ids":["https://openalex.org/I4210138650","https://openalex.org/I82724352"]},{"raw_affiliation_string":"Dept. of Comput. Sci., MARA Univ. of Technol. (UiTM), Shah Alam, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029909446","display_name":"Raseeda Hamzah","orcid":"https://orcid.org/0000-0002-9202-125X"},"institutions":[{"id":"https://openalex.org/I4210138650","display_name":"Universiti Teknologi MARA System","ror":"https://ror.org/030847t23","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210138650"]},{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Raseeda Hamzah","raw_affiliation_strings":["Department of Computer Science, MARA University of Technology (UiTM), Shah Alam, Selangor, MALAYSIA","Dept. of Comput. Sci., MARA Univ. of Technol. (UiTM), Shah Alam, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, MARA University of Technology (UiTM), Shah Alam, Selangor, MALAYSIA","institution_ids":["https://openalex.org/I4210138650","https://openalex.org/I82724352"]},{"raw_affiliation_string":"Dept. of Comput. Sci., MARA Univ. of Technol. (UiTM), Shah Alam, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07430748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"000040","last_page":"000045"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9803000092506409,"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":0.9803000092506409,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9764999747276306,"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":0.9344000220298767,"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/computer-science","display_name":"Computer science","score":0.7582464218139648},{"id":"https://openalex.org/keywords/malay","display_name":"Malay","score":0.7360016703605652},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5833521485328674},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5405288338661194},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.532236635684967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5223549604415894},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5139986872673035},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.49937868118286133},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.4922455847263336},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.49163538217544556},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.48858246207237244},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.43993017077445984},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36117398738861084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2562641501426697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13556969165802002},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0717039406299591}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7582464218139648},{"id":"https://openalex.org/C2776938241","wikidata":"https://www.wikidata.org/wiki/Q9237","display_name":"Malay","level":2,"score":0.7360016703605652},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5833521485328674},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5405288338661194},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.532236635684967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5223549604415894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5139986872673035},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.49937868118286133},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.4922455847263336},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.49163538217544556},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.48858246207237244},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.43993017077445984},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36117398738861084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2562641501426697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13556969165802002},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0717039406299591},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspit.2013.6781851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2013.6781851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Symposium on Signal Processing and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2064313424","https://openalex.org/W2078392638","https://openalex.org/W2128160875","https://openalex.org/W2137089646","https://openalex.org/W2137983211","https://openalex.org/W2151333813","https://openalex.org/W2766736793","https://openalex.org/W3144708829","https://openalex.org/W3146803896","https://openalex.org/W4205687621"],"related_works":["https://openalex.org/W3079964180","https://openalex.org/W2115072676","https://openalex.org/W2045727192","https://openalex.org/W4311212821","https://openalex.org/W2102065768","https://openalex.org/W4390752998","https://openalex.org/W1529660427","https://openalex.org/W3121106353","https://openalex.org/W2158578859","https://openalex.org/W4313287846"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,27,31,67,93,106,128,134,153,175],"fusion":[4],"of":[5,36,56,70,136],"artificial":[6,38],"intelligence":[7],"(AI)":[8],"learning":[9],"algorithms":[10,14,64],"that":[11,133],"are":[12,23,79,103],"genetic":[13],"(GA)":[15],"and":[16,33,50,90,149,164],"conjugate":[17],"gradient":[18],"(CG)":[19],"methods.":[20],"Both":[21],"methods":[22],"used":[24,80],"to":[25,65,110,118,181],"find":[26],"optimum":[28],"weights":[29],"for":[30,61],"hidden":[32],"output":[34],"layers":[35],"feedforward":[37],"neural":[39],"network":[40,157],"(ANN)":[41],"model.":[42],"Each":[43],"algorithm":[44,139],"is":[45,88,144,178],"presented":[46],"in":[47,81],"separate":[48],"module":[49],"we":[51],"proposed":[52,89,107],"three":[53],"different":[54,76],"types":[55],"Dynamic":[57],"Connection":[58],"Strategies":[59],"(DyConS)":[60],"combining":[62],"both":[63],"improve":[66],"recognition":[68,124,176],"performance":[69,135,163],"spoken":[71],"Malay":[72],"speech":[73],"recognition.":[74],"Two":[75],"GA":[77,86,95,113,138,148,154],"techniques":[78],"this":[82,170],"research:":[83],"a":[84],"mutated":[85,137],"technique":[87],"compared":[91],"with":[92,100,115,122,142,155,165],"standard":[94,147],"technique.":[96],"One":[97],"hundred":[98],"experiments":[99],"5000":[101],"words":[102],"conducted":[104],"using":[105],"DyConS.":[108],"Owing":[109],"previous":[111],"facts,":[112],"combined":[114,141],"ANN":[116],"proved":[117],"attain":[119],"certain":[120],"advantages":[121],"sufficient":[123],"performance.":[125],"Thus,":[126],"from":[127],"results,":[129],"it":[130],"was":[131],"observed":[132],"when":[140],"CG":[143,150],"better":[145],"than":[146],"models.":[151],"Integrating":[152],"feed-forward":[156],"improved":[158],"mean":[159],"square":[160],"error":[161],"(MSE)":[162],"good":[166],"connection":[167],"strategy":[168],"by":[169],"two":[171],"stage":[172],"training":[173],"scheme,":[174],"rate":[177],"increased":[179],"up":[180],"99%.":[182]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}