{"id":"https://openalex.org/W2940606701","doi":"https://doi.org/10.1515/comp-2019-0004","title":"Bidirectional deep architecture for Arabic speech recognition","display_name":"Bidirectional deep architecture for Arabic speech recognition","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2940606701","doi":"https://doi.org/10.1515/comp-2019-0004","mag":"2940606701"},"language":"en","primary_location":{"id":"doi:10.1515/comp-2019-0004","is_oa":true,"landing_page_url":"https://doi.org/10.1515/comp-2019-0004","pdf_url":"https://www.degruyter.com/downloadpdf/journals/comp/9/1/article-p92.pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.degruyter.com/downloadpdf/journals/comp/9/1/article-p92.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069531913","display_name":"Naima Zerari","orcid":"https://orcid.org/0009-0002-4469-5476"},"institutions":[{"id":"https://openalex.org/I162489102","display_name":"University of Batna 1","ror":"https://ror.org/04hrbe508","country_code":"DZ","type":"education","lineage":["https://openalex.org/I162489102"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Naima Zerari","raw_affiliation_strings":["Laboratory of Automation and Manufacturing , Department of Industrial Engineering , University of Batna 2 Mostefa Ben Boulaid, Batna , 05000 , Algeria"],"affiliations":[{"raw_affiliation_string":"Laboratory of Automation and Manufacturing , Department of Industrial Engineering , University of Batna 2 Mostefa Ben Boulaid, Batna , 05000 , Algeria","institution_ids":["https://openalex.org/I162489102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067153471","display_name":"Samir Abdelhamid","orcid":"https://orcid.org/0000-0002-1561-5054"},"institutions":[{"id":"https://openalex.org/I162489102","display_name":"University of Batna 1","ror":"https://ror.org/04hrbe508","country_code":"DZ","type":"education","lineage":["https://openalex.org/I162489102"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Samir Abdelhamid","raw_affiliation_strings":["Laboratory of Automation and Manufacturing , Department of Industrial Engineering , University of Batna 2 Mostefa Ben Boulaid, Batna , 05000 , Algeria"],"affiliations":[{"raw_affiliation_string":"Laboratory of Automation and Manufacturing , Department of Industrial Engineering , University of Batna 2 Mostefa Ben Boulaid, Batna , 05000 , Algeria","institution_ids":["https://openalex.org/I162489102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102951541","display_name":"Hassen Bouzgou","orcid":"https://orcid.org/0000-0003-3685-1213"},"institutions":[{"id":"https://openalex.org/I162489102","display_name":"University of Batna 1","ror":"https://ror.org/04hrbe508","country_code":"DZ","type":"education","lineage":["https://openalex.org/I162489102"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Hassen Bouzgou","raw_affiliation_strings":["Department of Industrial Engineering , University of Batna 2 Mostefa Ben Boulaid, Batna , 05000 , Algeria"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering , University of Batna 2 Mostefa Ben Boulaid, Batna , 05000 , Algeria","institution_ids":["https://openalex.org/I162489102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073795682","display_name":"Christian Raymond","orcid":"https://orcid.org/0000-0002-0963-9367"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I28221208","display_name":"Institut National des Sciences Appliqu\u00e9es de Rennes","ror":"https://ror.org/04xaa4j22","country_code":"FR","type":"education","lineage":["https://openalex.org/I28221208"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christian Raymond","raw_affiliation_strings":["INSA Rennes, IRISA/INRIA , Rennes , France"],"affiliations":[{"raw_affiliation_string":"INSA Rennes, IRISA/INRIA , Rennes , France","institution_ids":["https://openalex.org/I28221208","https://openalex.org/I2802519937","https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069531913"],"corresponding_institution_ids":["https://openalex.org/I162489102"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":3.4685,"has_fulltext":true,"cited_by_count":51,"citation_normalized_percentile":{"value":0.9413129,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"9","issue":"1","first_page":"92","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9993000030517578,"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/T11309","display_name":"Music and Audio Processing","score":0.9983999729156494,"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/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.839465856552124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8385792374610901},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7732703685760498},{"id":"https://openalex.org/keywords/arabic-numerals","display_name":"Arabic numerals","score":0.614236056804657},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5743371844291687},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5649982690811157},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.553459107875824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5380226373672485},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5322387218475342},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5294767618179321},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4960554540157318},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4140126705169678}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.839465856552124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8385792374610901},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7732703685760498},{"id":"https://openalex.org/C82054205","wikidata":"https://www.wikidata.org/wiki/Q29961325","display_name":"Arabic numerals","level":2,"score":0.614236056804657},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5743371844291687},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5649982690811157},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.553459107875824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5380226373672485},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5322387218475342},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5294767618179321},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4960554540157318},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4140126705169678}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1515/comp-2019-0004","is_oa":true,"landing_page_url":"https://doi.org/10.1515/comp-2019-0004","pdf_url":"https://www.degruyter.com/downloadpdf/journals/comp/9/1/article-p92.pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-02129108v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-02129108","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Open Computer Science, 2019, 9 (1), pp.92-102. &#x27E8;10.1515/comp-2019-0004&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:doaj.org/article:3146c292fb664f4f936ad2979415a4aa","is_oa":true,"landing_page_url":"https://doaj.org/article/3146c292fb664f4f936ad2979415a4aa","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Open Computer Science, Vol 9, Iss 1, Pp 92-102 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/comp-2019-0004","is_oa":true,"landing_page_url":"https://doi.org/10.1515/comp-2019-0004","pdf_url":"https://www.degruyter.com/downloadpdf/journals/comp/9/1/article-p92.pdf","source":{"id":"https://openalex.org/S4210177004","display_name":"Open Computer Science","issn_l":"2299-1093","issn":["2299-1093"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2940606701.pdf","grobid_xml":"https://content.openalex.org/works/W2940606701.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W171797550","https://openalex.org/W1840860027","https://openalex.org/W1990501283","https://openalex.org/W2005708641","https://openalex.org/W2032423026","https://openalex.org/W2034537249","https://openalex.org/W2051021813","https://openalex.org/W2062826588","https://openalex.org/W2064675550","https://openalex.org/W2092103954","https://openalex.org/W2095705004","https://openalex.org/W2102371729","https://openalex.org/W2116284923","https://openalex.org/W2123648823","https://openalex.org/W2125521864","https://openalex.org/W2127141656","https://openalex.org/W2143612262","https://openalex.org/W2147768505","https://openalex.org/W2148154194","https://openalex.org/W2160815625","https://openalex.org/W2166243357","https://openalex.org/W2169415433","https://openalex.org/W2180587936","https://openalex.org/W2329835360","https://openalex.org/W2509582621","https://openalex.org/W2786234940","https://openalex.org/W2805663803","https://openalex.org/W2919115771","https://openalex.org/W2963077089","https://openalex.org/W2963499843"],"related_works":["https://openalex.org/W2120446725","https://openalex.org/W2076543106","https://openalex.org/W2111680118","https://openalex.org/W4246803324","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W2159897332","https://openalex.org/W2523437662","https://openalex.org/W4387048144","https://openalex.org/W2492135063"],"abstract_inverted_index":{"Abstract":[0],"Nowadays,":[1],"the":[2,23,56,60,90,95,113,123,139,152,162,165,187,209,221,225,237,242,246,254,257],"real":[3],"life":[4],"constraints":[5],"necessitates":[6],"controlling":[7],"modern":[8,29],"machines":[9],"using":[10,143,217],"human":[11,24],"intervention":[12],"by":[13,59,173],"means":[14],"of":[15,22,94,164,189,256],"sensorial":[16],"organs.":[17],"The":[18,118,130,212,250],"voice":[19,43],"is":[20,37,215,239],"one":[21,223,244],"senses":[25],"that":[26,74,197],"can":[27,121],"control/monitor":[28],"interfaces.":[30],"In":[31,62],"this":[32,63],"context,":[33],"Automatic":[34],"Speech":[35],"Recognition":[36],"principally":[38],"used":[39,184],"to":[40,50,87,159,185,201,207],"convert":[41],"natural":[42,140],"into":[44],"computer":[45],"text":[46],"as":[47,49,192],"well":[48],"perform":[51,208],"an":[52],"action":[53],"based":[54],"on":[55],"instructions":[57],"given":[58],"human.":[61],"paper,":[64],"we":[65],"propose":[66],"a":[67,169,174,193,202,230],"general":[68],"framework":[69],"for":[70],"Arabic":[71,125],"speech":[72,96,126,141],"recognition":[73,228],"uses":[75],"Long":[76],"Short-Term":[77],"Memory":[78],"(LSTM)":[79],"and":[80,109,146,149],"Neural":[81],"Network":[82],"(Multi-Layer":[83],"Perceptron:":[84],"MLP)":[85],"classifier":[86],"cope":[88],"with":[89,161,232],"nonuniform":[91],"sequence":[92],"length":[93],"utterances":[97],"issued":[98],"fromboth":[99],"feature":[100],"extraction":[101],"techniques,":[102],"(1)Mel":[103],"Frequency":[104],"Cepstral":[105],"Coefficients":[106],"MFCC":[107,144],"(static":[108,145],"dynamic":[110,147],"features),":[111],"(2)":[112],"Filter":[114],"Banks":[115],"(FB)":[116],"coefficients.":[117],"neural":[119],"architecture":[120,171],"recognize":[122],"isolated":[124],"via":[127],"classification":[128,210],"technique.":[129],"proposed":[131,213,258],"system":[132,214],"involves,":[133],"first,":[134],"extracting":[135],"pertinent":[136],"features":[137,154,191],"from":[138],"signal":[142],"features)":[148],"FB.":[150],"Next,":[151],"extracted":[153],"are":[155,183],"padded":[156],"in":[157,236],"order":[158],"deal":[160],"non-uniformity":[163],"sequences":[166,188],"length.":[167],"Then,":[168],"deep":[170],"represented":[172],"recurrent":[175],"LSTM":[176],"or":[177],"GRU":[178],"(Gated":[179],"Recurrent":[180],"Unit)":[181],"architectures":[182],"encode":[186],"MFCC/FB":[190],"fixed":[194],"size":[195],"vector":[196],"will":[198],"be":[199],"introduced":[200],"Multi-Layer":[203],"Perceptron":[204],"network":[205],"(MLP)":[206],"(recognition).":[211],"assessed":[216],"two":[218],"different":[219],"databases,":[220],"first":[222],"concerns":[224],"spoken":[226,247],"digit":[227],"where":[229],"comparison":[231],"other":[233],"related":[234],"works":[235],"literature":[238],"performed,":[240],"whereas":[241],"second":[243],"contains":[245],"TV":[248],"commands.":[249],"obtained":[251],"results":[252],"show":[253],"superiority":[255],"approach.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
