{"id":"https://openalex.org/W4307248014","doi":"https://doi.org/10.11591/ijece.v13i1.pp400-412","title":"Machine learning for Arabic phonemes recognition using electrolarynx speech","display_name":"Machine learning for Arabic phonemes recognition using electrolarynx speech","publication_year":2022,"publication_date":"2022-10-25","ids":{"openalex":"https://openalex.org/W4307248014","doi":"https://doi.org/10.11591/ijece.v13i1.pp400-412"},"language":"en","primary_location":{"id":"doi:10.11591/ijece.v13i1.pp400-412","doi":"https://doi.org/10.11591/ijece.v13i1.pp400-412","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijece.v13i1.pp400-412","pdf_url":"https://ijece.iaescore.com/index.php/IJECE/article/download/27217/16266","source":{"id":"https://openalex.org/S4210235676","display_name":"International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering","issn_l":"2722-256X","issn":["2722-256X","2722-2578"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Electrical and Computer Engineering (IJECE)","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ijece.iaescore.com/index.php/IJECE/article/download/27217/16266","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059365563","display_name":"Zinah Jaffar Mohammed Ameen","orcid":"https://orcid.org/0000-0001-6549-1937","observed_orcids":["https://orcid.org/0000-0001-6549-1937"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zinah Jaffar Mohammed Ameen","raw_affiliation_strings":["University of Technology"],"raw_orcid":"https://orcid.org/0000-0001-6549-1937","affiliations":[{"raw_affiliation_string":"University of Technology","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004158227","display_name":"Abdulkareem Abdulrahman Kadhim","orcid":"https://orcid.org/0000-0001-8680-2140","observed_orcids":["https://orcid.org/0000-0001-8680-2140"]},"institutions":[{"id":"https://openalex.org/I56409017","display_name":"Nahrain University","ror":"https://ror.org/05v2p9075","country_code":"IQ","type":"education","lineage":["https://openalex.org/I56409017"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Abdulkareem Abdulrahman Kadhim","raw_affiliation_strings":["Al-Nahrain University"],"raw_orcid":"https://orcid.org/0000-0001-8680-2140","affiliations":[{"raw_affiliation_string":"Al-Nahrain University","institution_ids":["https://openalex.org/I56409017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4935,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62921854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"13","issue":"1","first_page":"400","last_page":"400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9990000128746033,"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":0.9990000128746033,"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":0.0005000000237487257,"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/T10863","display_name":"Voice and Speech Disorders","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/speech-recognition","display_name":"speech recognition","score":0.5460000038146973},{"id":"https://openalex.org/keywords/mel-frequency-cepstral-coefficients","display_name":"Mel-frequency cepstral coefficients","score":0.8080000281333923},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8149999976158142},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9169999957084656},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.9819999933242798},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.824999988079071},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.8289999961853027},{"id":"https://openalex.org/keywords/phoneme-error-rate","display_name":"phoneme error rate","score":0.8159999847412109}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8020855784416199},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7247441411018372},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5810621380805969},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5719038844108582},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5258529782295227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5191882848739624}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.11591/ijece.v13i1.pp400-412","doi":"https://doi.org/10.11591/ijece.v13i1.pp400-412","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijece.v13i1.pp400-412","pdf_url":"https://ijece.iaescore.com/index.php/IJECE/article/download/27217/16266","source":{"id":"https://openalex.org/S4210235676","display_name":"International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering","issn_l":"2722-256X","issn":["2722-256X","2722-2578"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Electrical and Computer Engineering (IJECE)","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:7435656","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/7435656","pdf_url":"https://zenodo.org/record/7435656","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Electrical and Computer Engineering (IJECE) 13(1) 400-412","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.11591/ijece.v13i1.pp400-412","doi":"https://doi.org/10.11591/ijece.v13i1.pp400-412","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijece.v13i1.pp400-412","pdf_url":"https://ijece.iaescore.com/index.php/IJECE/article/download/27217/16266","source":{"id":"https://openalex.org/S4210235676","display_name":"International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering","issn_l":"2722-256X","issn":["2722-256X","2722-2578"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Electrical and Computer Engineering (IJECE)","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4307248014.pdf","grobid_xml":"https://content.openalex.org/works/W4307248014.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1557478119","https://openalex.org/W2033815440","https://openalex.org/W2058506073","https://openalex.org/W2078277219","https://openalex.org/W2402294061","https://openalex.org/W2514741789","https://openalex.org/W2551623033","https://openalex.org/W2573137456","https://openalex.org/W2600087534","https://openalex.org/W2765126809","https://openalex.org/W2778081019","https://openalex.org/W2789390963","https://openalex.org/W2792325916","https://openalex.org/W2795791968","https://openalex.org/W2798685342","https://openalex.org/W2899675781","https://openalex.org/W2902784055","https://openalex.org/W2907820983","https://openalex.org/W2942231644","https://openalex.org/W2945070656","https://openalex.org/W2971808598","https://openalex.org/W2972632814","https://openalex.org/W2979040987","https://openalex.org/W2980326204","https://openalex.org/W2984826758","https://openalex.org/W2990651761","https://openalex.org/W3004214052","https://openalex.org/W3005407866","https://openalex.org/W3036983058","https://openalex.org/W3092459676","https://openalex.org/W3120595804","https://openalex.org/W3124014937","https://openalex.org/W3162680007","https://openalex.org/W3176906074"],"related_works":["https://openalex.org/W4322622823","https://openalex.org/W4318615378","https://openalex.org/W2058016613","https://openalex.org/W2148473102","https://openalex.org/W3016614324","https://openalex.org/W2612182924","https://openalex.org/W2538883163","https://openalex.org/W2741920812","https://openalex.org/W4390993055","https://openalex.org/W4404978819"],"abstract_inverted_index":{"Automatic":[0],"speech":[1,16,39,144,148,161],"recognition":[2,40,58,76,97,136],"system":[3],"is":[4,29,53,63,78,127],"one":[5],"of":[6,10,45,59,134,179,184,192],"the":[7,23,43,82,135,151,167],"essential":[8],"ways":[9],"interaction":[11],"with":[12,55,175],"machines.":[13,50],"Interests":[14],"in":[15,22],"based":[17],"intelligent":[18],"systems":[19],"have":[20],"grown":[21],"past":[24],"few":[25],"decades.":[26],"Therefore,":[27],"there":[28],"a":[30,64,181,187],"need":[31],"to":[32,41,80],"develop":[33],"more":[34],"efficient":[35],"methods":[36,174],"for":[37,129],"human":[38],"ensure":[42],"reliability":[44],"communication":[46],"between":[47],"individuals":[48],"and":[49,120,131,145,186],"This":[51],"paper":[52],"concerned":[54],"Arabic":[56,126],"phoneme":[57,188],"electrolarynx":[60,93,146],"device.":[61,94],"Electrolarynx":[62],"device":[65,147],"used":[66],"by":[67,92,150],"cancer":[68],"patients":[69],"having":[70],"vocal":[71],"laryngeal":[72],"cords":[73],"removed.":[74],"Speech":[75],"here":[77],"considered":[79,159],"find":[81],"preferred":[83],"machine":[84,100,169],"learning":[85,101,170],"model":[86],"that":[87,166],"can":[88],"classify":[89],"phonemes":[90,96],"produced":[91],"The":[95,138,163],"employs":[98],"different":[99],"schemes,":[102],"including":[103],"convolutional":[104],"neural":[105,108,111],"network,":[106,109],"recurrent":[107],"artificial":[110],"network":[112],"(ANN),":[113],"random":[114],"forest,":[115],"extreme":[116],"gradient":[117],"boosting":[118],"(XGBoost),":[119],"long":[121],"short-term":[122],"memory.":[123],"Modern":[124],"standard":[125],"utilized":[128],"testing":[130],"training":[132],"phases":[133],"system.":[137],"dataset":[139],"covers":[140],"both":[141],"an":[142,176],"ordinary":[143],"recorded":[149],"same":[152],"person.":[153],"Mel":[154],"frequency":[155],"cepstral":[156],"coefficients":[157],"are":[158],"as":[160],"features.":[162],"results":[164],"show":[165],"ANN":[168],"method":[171],"outperformed":[172],"other":[173],"accuracy":[177],"rate":[178,190],"75%,":[180],"precision":[182],"value":[183],"77%,":[185],"error":[189],"(PER)":[191],"21.85%.":[193]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2022-10-30T00:00:00"}