{"id":"https://openalex.org/W7140166013","doi":"https://doi.org/10.48550/arxiv.2603.20255","title":"Abjad-Kids: An Arabic Speech Classification Dataset for Primary Education","display_name":"Abjad-Kids: An Arabic Speech Classification Dataset for Primary Education","publication_year":2026,"publication_date":"2026-03-11","ids":{"openalex":"https://openalex.org/W7140166013","doi":"https://doi.org/10.48550/arxiv.2603.20255"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.20255","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.20255","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Snoubara, Abdul Aziz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Snoubara, Abdul Aziz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Al_Maradni, Baraa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Al_Maradni, Baraa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Al_Naal, Haya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Al_Naal, Haya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Al_Madrmani, Malek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Al_Madrmani, Malek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Jdini, Roaa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jdini, Roaa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zarzour, Seedra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zarzour, Seedra","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Jallad, Khloud Al","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jallad, Khloud Al","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.6107000112533569,"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":0.6107000112533569,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.03669999912381172,"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/T11309","display_name":"Music and Audio Processing","score":0.02459999918937683,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.619700014591217},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.5645999908447266},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5364000201225281},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41190001368522644},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3756999969482422},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.32749998569488525},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.32109999656677246},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3167000114917755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7549999952316284},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.619700014591217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5814999938011169},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.5645999908447266},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5461999773979187},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5364000201225281},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4447999894618988},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41190001368522644},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37959998846054077},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3756999969482422},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3167000114917755},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.30959999561309814},{"id":"https://openalex.org/C91863865","wikidata":"https://www.wikidata.org/wiki/Q4349497","display_name":"Speech corpus","level":3,"score":0.3082999885082245},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.2946999967098236},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.26930001378059387},{"id":"https://openalex.org/C123406163","wikidata":"https://www.wikidata.org/wiki/Q82042","display_name":"Part of speech","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C109089402","wikidata":"https://www.wikidata.org/wiki/Q8188","display_name":"Syllable","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.20255","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.20255","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.8920079469680786,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Speech-based":[0],"AI":[1],"educational":[2],"applications":[3],"have":[4],"gained":[5],"significant":[6],"interest":[7],"in":[8,85,232,243],"recent":[9],"years,":[10,71],"particularly":[11],"for":[12,29,43,134,240,247],"children.":[13],"However,":[14],"children":[15,66,230],"speech":[16,40,233,245],"research":[17,242],"remains":[18],"limited":[19,101,196],"due":[20,193],"to":[21,82,194,216],"the":[22,100,168,195],"lack":[23],"of":[24,52,60,170,182,198],"publicly":[25,223],"available":[26],"datasets,":[27],"especially":[28],"low-resource":[30],"languages":[31],"such":[32],"as":[33],"Arabic.This":[34],"paper":[35],"presents":[36],"Abjad-Kids,":[37],"an":[38,125],"Arabic":[39,97,244],"dataset":[41,58],"designed":[42],"kindergarten":[44],"and":[45,55,89,99,142,204,235],"primary":[46],"education,":[47],"focusing":[48],"on":[49,112,212],"fundamental":[50],"learning":[51,162,165],"alphabets,":[53],"numbers,":[54],"colors.":[56],"The":[57],"consists":[59],"46397":[61],"audio":[62,109],"samples":[63,76,102],"collected":[64],"from":[65],"aged":[67],"3":[68],"-":[69],"12":[70],"covering":[72],"141":[73],"classes.":[74],"All":[75],"were":[77,146],"recorded":[78],"under":[79],"controlled":[80],"specifications":[81],"ensure":[83],"consistency":[84],"duration,":[86],"sampling":[87],"rate,":[88],"format.":[90],"To":[91],"address":[92,217],"high":[93],"intra-class":[94],"similarity":[95],"among":[96],"phonemes":[98],"per":[103],"class,":[104],"we":[105],"propose":[106],"a":[107,122,186,237],"hierarchical":[108],"classification":[110,128,246],"based":[111],"CNN-LSTM":[113,171],"architectures.":[114],"Our":[115],"proposed":[116],"methodology":[117],"decomposes":[118],"alphabet":[119],"recognition":[120],"into":[121],"two-stage":[123],"process:":[124],"initial":[126],"grouping":[127,141,154],"model":[129,205],"followed":[130],"by":[131],"specialized":[132],"classifiers":[133],"each":[135],"group.":[136],"Both":[137],"strategies:":[138],"static":[139,152],"linguistic-based":[140,153],"dynamic":[143],"clustering-based":[144],"grouping,":[145],"evaluated.":[147],"Experimental":[148],"results":[149],"demonstrate":[150],"that":[151,227],"achieves":[155],"superior":[156],"performance.":[157],"Comparisons":[158],"between":[159],"traditional":[160],"machine":[161],"with":[163,174,188],"deep":[164],"approaches,":[166],"highlight":[167],"effectiveness":[169],"models":[172],"combined":[173],"data":[175,202,215],"augmentation.":[176],"Despite":[177],"achieving":[178],"promising":[179],"results,":[180],"most":[181],"our":[183],"experiments":[184],"indicate":[185],"challenge":[187],"overfitting,":[189],"which":[190],"is":[191],"likely":[192],"number":[197],"samples,":[199],"even":[200],"after":[201],"augmentation":[203],"regularization.":[206],"Thus,":[207],"future":[208,241],"work":[209],"may":[210],"focus":[211],"collecting":[213],"additional":[214],"this":[218],"issue.":[219],"Abjad-Kids":[220,228],"will":[221],"be":[222,236],"available.":[224],"We":[225],"hope":[226],"enrich":[229],"representation":[231],"dataset,":[234],"good":[238],"resource":[239],"kids.":[248]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-12T00:00:00"}