{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T18:51:37Z","timestamp":1782327097593,"version":"3.54.5"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"26","license":[{"start":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T00:00:00Z","timestamp":1731456000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T00:00:00Z","timestamp":1731456000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-024-20451-0","type":"journal-article","created":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T02:03:38Z","timestamp":1731463418000},"page":"31517-31536","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Enhancing amazigh ASR through convolutional neural networks and MFCC"],"prefix":"10.1007","volume":"84","author":[{"given":"Hossam","family":"Boulal","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2487-5517","authenticated-orcid":false,"given":"Mohamed","family":"Hamidi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jamal","family":"Barkani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mustapha","family":"Abarkan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,11,13]]},"reference":[{"issue":"1","key":"20451_CR1","doi-asserted-by":"publisher","first-page":"2095039","DOI":"10.1080\/08839514.2022.2095039","volume":"36","author":"JL Fendji","year":"2022","unstructured":"Fendji JL, Tala DC, Yenke BO, Atemkeng M (2022) Automatic speech recognition using limited vocabulary: a survey. Appl Artif Intell 36(1):2095039","journal-title":"Appl Artif Intell"},{"key":"20451_CR2","first-page":"339","volume":"2","author":"Xuedong Huang","year":"2010","unstructured":"Huang Xuedong, Deng Li (2010) An overview of modern speech recognition. Handbook Nat Language Process 2:339\u201366","journal-title":"Handbook Nat Language Process"},{"key":"20451_CR3","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1007\/s10772-017-9428-y","volume":"20","author":"TG Yadava","year":"2017","unstructured":"Yadava TG, Jayanna HS (2017) A spoken query system for the agricultural commodity prices and weather information access in kannada language. Int J Speech Technol 20:635\u2013644","journal-title":"Int J Speech Technol"},{"key":"20451_CR4","unstructured":"Mayer J (2018) Low cost automatic speech recognition iot architecture for hands free assistance to people with mobility restrictions. In: Proceedings on the international conference on internet computing (icomp), The Steering Committee of The World Congress in Computer Science, Computer. pp 53\u201358"},{"key":"20451_CR5","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.specom.2013.07.008","volume":"56","author":"Laurent Besacier","year":"2014","unstructured":"Besacier Laurent, Barnard Etienne, Karpov Alexey, Schultz Tanja (2014) Automatic speech recognition for under-resourced languages: a survey. Speech Commun 56:85\u2013100","journal-title":"Speech Commun"},{"key":"20451_CR6","doi-asserted-by":"crossref","unstructured":"Al-Qatab BAQ , Ainon RN (2010) Arabic speech recognition using hidden markov model toolkit (htk). In: 2010 international symposium on information technology, volume\u00a02, IEEE. pp 557\u2013562","DOI":"10.1109\/ITSIM.2010.5561391"},{"issue":"6","key":"20451_CR7","first-page":"1","volume":"5","author":"E Abderrahim","year":"2024","unstructured":"Abderrahim E, Naouar L, Ouissam Z, Hassan S (2024) Building automatic speech recognition systems for moroccan dialect: A phoneme-based approach. SN Computer Science 5(6):1\u201310","journal-title":"SN Computer Science"},{"key":"20451_CR8","volume-title":"A speaker independent small vocabulary automatic speech recognition system in macedonian","author":"B Gerazov","year":"2013","unstructured":"Gerazov B, Ivanovski Z (2013) A speaker independent small vocabulary automatic speech recognition system in macedonian. Proc, TAKTONS"},{"key":"20451_CR9","doi-asserted-by":"publisher","first-page":"267","DOI":"10.4028\/www.scientific.net\/AMM.623.267","volume":"623","author":"XF Liu","year":"2014","unstructured":"Liu XF, Zhou H (2014) A chinese small vocabulary offline speech recognition system based on pocketsphinx in android platform. Appl Mech Mater 623:267\u2013273","journal-title":"Appl Mech Mater"},{"key":"20451_CR10","doi-asserted-by":"crossref","unstructured":"Supriya S, Handore SM (2017) Speech recognition using htk toolkit for marathi language. In: 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), IEEE. pp 1591\u20131597","DOI":"10.1109\/ICPCSI.2017.8391979"},{"key":"20451_CR11","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1016\/j.neucom.2020.08.092","volume":"445","author":"Y Lin","year":"2021","unstructured":"Lin Y, Li Q, Yang B, Yan Z, Tan H, Chen Z (2021) Improving speech recognition models with small samples for air traffic control systems. Neurocomput 445:287\u2013297","journal-title":"Neurocomput"},{"key":"20451_CR12","unstructured":"Noughreche A, Boulouma S, Benbaghdad M (2021) Design and implementation of an automatic speech recognition based voice control system. In: Conference on electrical engineering 2021"},{"key":"20451_CR13","doi-asserted-by":"crossref","unstructured":"Das S, Yasmin MR, Arefin M, Taher KA, Uddin MN, Rahman MA (2021) Mixed bangla-english spoken digit classification using convolutional neural network. In: Applied intelligence and informatics: first international conference, Springer, AII 2021, Nottingham, UK, July 30\u201331, 2021, Proceedings 1. pp 371\u2013383","DOI":"10.1007\/978-3-030-82269-9_29"},{"key":"20451_CR14","doi-asserted-by":"crossref","unstructured":"Tailor JH, Rakholia R, Saini JR, Kotecha K (2022) Deep learning approach for spoken digit recognition in gujarati language. Int J Adv Comput Sci Appl 13(4)","DOI":"10.14569\/IJACSA.2022.0130450"},{"key":"20451_CR15","unstructured":"Chaker S (1984) Textes en linguistique berb\u00e8re: introduction au domaine berb\u00e8re. (No Title)"},{"key":"20451_CR16","unstructured":"Ouakrim O (1995) Fon\u00e9tica y fonolog\u00eda del Bereber, volume\u00a03. Servei de Publicacions de la Universitat Aut\u00f2noma de Barcelona"},{"key":"20451_CR17","unstructured":"Ridouane R (2003) Suites de consonnes en berb\u00e8re: phon\u00e9tique et phonologie. PhD thesis, Universit\u00e9 de la Sorbonne nouvelle-Paris III"},{"key":"20451_CR18","first-page":"7","volume":"6","author":"A Boukous","year":"2014","unstructured":"Boukous A (2014) The planning of standardizing amazigh language the moroccan experience. Iles d imesli 6:7\u201323","journal-title":"Iles d imesli"},{"key":"20451_CR19","unstructured":"El\u00a0Ghazi A, Daoui C, Idrissi N, Fakir M, Bouikhalene B (2011) Syst\u00e8me de reconnaissance automatique de la parole amazigh \u00e0 base de la transcription en alphabet tifinagh. Revue M\u00e9diterran\u00e9enne des T\u00e9l\u00e9communications, 1(2)"},{"key":"20451_CR20","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1007\/s10772-014-9223-y","volume":"17","author":"H Satori","year":"2014","unstructured":"Satori H, ElHaoussi F (2014) Investigation amazigh speech recognition using cmu tools. Int J Speech Technol 17:235\u2013243","journal-title":"Int J Speech Technol"},{"key":"20451_CR21","doi-asserted-by":"crossref","unstructured":"Barkani F, Satori H, Hamidi M, Zealouk O, Laaidi N (2020) Amazigh speech recognition embedded system. In: 2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), IEEE. pp 1\u20135","DOI":"10.1109\/IRASET48871.2020.9092014"},{"issue":"1","key":"20451_CR22","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/s10772-019-09661-2","volume":"23","author":"M Hamidi","year":"2020","unstructured":"Hamidi M, Satori H, Zealouk O, Satori K (2020) Amazigh digits through interactive speech recognition system in noisy environment. Int J Speech Technol 23(1):101\u2013109","journal-title":"Int J Speech Technol"},{"issue":"2","key":"20451_CR23","doi-asserted-by":"publisher","first-page":"515","DOI":"10.12928\/telkomnika.v19i2.16793","volume":"19","author":"M Telmem","year":"2021","unstructured":"Telmem M, Ghanou Y (2021) The convolutional neural networks for amazigh speech recognition system. TELKOMNIKA (Telecommun Comput Electron Control) 19(2):515\u2013522","journal-title":"TELKOMNIKA (Telecommun Comput Electron Control)"},{"key":"20451_CR24","doi-asserted-by":"crossref","unstructured":"Zealouk O, Hamidi M, Satori H (2022) Investigation on speech recognition accuracy via sphinx toolkits. In: 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), IEEE. pp 1\u20136","DOI":"10.1109\/IRASET52964.2022.9738105"},{"key":"20451_CR25","doi-asserted-by":"crossref","unstructured":"Daouad M, Allah FA, EW Dadi (2023) An automatic speech recognition system for isolated amazigh word using 1d & 2d cnn-lstm architecture. Int J Speech Technol 1\u201313","DOI":"10.1145\/3607720.3607760"},{"issue":"7","key":"20451_CR26","first-page":"791","volume":"14","author":"H Boulal","year":"2023","unstructured":"Boulal H, Hamidi M, Abarkan M, Barkani J (2023) Amazigh spoken digit recognition using a deep learning approach based on mfcc. Int J Electr Comput Eng Syst 14(7):791\u2013798","journal-title":"Int J Electr Comput Eng Syst"},{"key":"20451_CR27","doi-asserted-by":"crossref","unstructured":"Boulal H, Hamidi M, Abarkan M, Barkani J (2024) Amazigh cnn speech recognition system based on mel spectrogram feature extraction method. Int J Speech Technol 1\u201310","DOI":"10.1007\/s10772-024-10100-0"},{"key":"20451_CR28","doi-asserted-by":"crossref","unstructured":"Anggraeni D, Sanjaya WS, Nurasyidiek MY, Munawwaroh M (2018) The implementation of speech recognition using mel-frequency cepstrum coefficients (mfcc) and support vector machine (svm) method based on python to control robot arm. In: IOP Conference series: materials science and engineering, volume 288, IOP Publishing. p 012042","DOI":"10.1088\/1757-899X\/288\/1\/012042"},{"key":"20451_CR29","doi-asserted-by":"publisher","first-page":"101037","DOI":"10.1016\/j.aei.2020.101037","volume":"43","author":"Y Wang","year":"2020","unstructured":"Wang Y, Liu M, Zheng P, Yang H, Zou J (2020) A smart surface inspection system using faster r-cnn in cloud-edge computing environment. Adv Eng Inform 43:101037","journal-title":"Adv Eng Inform"},{"key":"20451_CR30","unstructured":"Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556"},{"key":"20451_CR31","doi-asserted-by":"crossref","unstructured":"Labied M, Belangour A, Banane M, Erraissi A (2022) An overview of automatic speech recognition preprocessing techniques. In 2022 International Conference on Decision Aid Sciences and Applications (DASA), IEEE. pp 804\u2013809","DOI":"10.1109\/DASA54658.2022.9765043"},{"issue":"1","key":"20451_CR32","first-page":"80","volume":"11","author":"O Verkholyak","year":"2021","unstructured":"Verkholyak O, Dvoynikova A, Karpov A (2021) A bimodal approach for speech emotion recognition using audio and text. J. Internet Serv. Inf. Secur. 11(1):80\u201396","journal-title":"J. Internet Serv. Inf. Secur."},{"key":"20451_CR33","doi-asserted-by":"crossref","unstructured":"Swedia ER, Mutiara AB, Subali M et\u00a0al (2018) Deep learning long-short term memory (lstm) for indonesian speech digit recognition using lpc and mfcc feature. In: 2018 Third International Conference on Informatics and Computing (ICIC), IEEE. pp 1\u20135","DOI":"10.1109\/IAC.2018.8780566"},{"key":"20451_CR34","doi-asserted-by":"crossref","unstructured":"Sen O, Roy P et\u00a0al (2021) A convolutional neural network based approach to recognize bangla spoken digits from speech signal. In: 2021 International Conference on Electronics, Communications and Information Technology (ICECIT), IEEE. pp 1\u20134","DOI":"10.1109\/ICECIT54077.2021.9641322"},{"issue":"1","key":"20451_CR35","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1515\/comp-2019-0004","volume":"9","author":"N Zerari","year":"2019","unstructured":"Zerari N, Abdelhamid S, Bouzgou H, Raymond C (2019) Bidirectional deep architecture for arabic speech recognition. Open Comput Sci 9(1):92\u2013102","journal-title":"Open Comput Sci"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-20451-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-024-20451-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-20451-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T00:57:13Z","timestamp":1757120233000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-024-20451-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,13]]},"references-count":35,"journal-issue":{"issue":"26","published-online":{"date-parts":[[2025,8]]}},"alternative-id":["20451"],"URL":"https:\/\/doi.org\/10.1007\/s11042-024-20451-0","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,13]]},"assertion":[{"value":"21 March 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 August 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 November 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 November 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"None.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of Interest"}},{"value":"We hereby confirm that all the Figures and Tables in the manuscript are ours. Besides, the Figures and images, which are not ours, have been given permission for re-publication attached with the manuscript.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publication Consent"}}]}}