{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T08:44:36Z","timestamp":1759826676788},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Speech Technol"],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1007\/s10772-020-09746-3","type":"journal-article","created":{"date-parts":[[2020,9,7]],"date-time":"2020-09-07T09:04:13Z","timestamp":1599469453000},"page":"705-711","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Recognition of Arabic speech sound error in children"],"prefix":"10.1007","volume":"23","author":[{"given":"Nacereddine","family":"Hammami","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Isah A.","family":"Lawal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mouldi","family":"Bedda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nadir","family":"Farah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,7]]},"reference":[{"key":"9746_CR1","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1007\/s10772-017-9440-2","volume":"20","author":"FS Al-Anzi","year":"2017","unstructured":"Al-Anzi, F. S., & Abuzeina, D. (2017). The impact of phonological rules on Arabic speech recognition. International Journal of Speech Technology, 20, 715\u2013723.","journal-title":"International Journal of Speech Technology"},{"issue":"1","key":"9746_CR2","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.jvoice.2016.01.014","volume":"31","author":"A Al-nasheri","year":"2017","unstructured":"Al-nasheri, A., Muhammad, G., Alsulaiman, M., & Ali, Z. (2017). Investigation of voice pathology detection and classification on different frequency regions using correlation functions. Journal of Voice, 31(1), 3\u201315.","journal-title":"Journal of Voice"},{"key":"9746_CR3","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.bica.2015.10.004","volume":"15","author":"Z Ali","year":"2016","unstructured":"Ali, Z., Alsulaiman, M., Elamvazuthi, I., Muhammad, G., Mesallam, T. A., Farahat, M., et al. (2016). Voice pathology detection based on the modified voice contour and SVM. Biologically Inspired Cognitive Architectures, 15, 10\u201318.","journal-title":"Biologically Inspired Cognitive Architectures"},{"key":"9746_CR4","doi-asserted-by":"publisher","first-page":"191","DOI":"10.2478\/v10010-009-0004-8","volume":"45","author":"S Bader","year":"2009","unstructured":"Bader, S. (2009). Speech and language impairments of Arabic-speaking Jordanian children within natural phonology and phonology as human behaviour. Poznan Studies in Contemporary Linguistics, 45, 191\u2013210.","journal-title":"Poznan Studies in Contemporary Linguistics"},{"key":"9746_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-4574-6","volume-title":"Automatic speech signal analysis for clinical diagnosis and assessment of speech disorders","author":"L Baghai-Ravary","year":"2013","unstructured":"Baghai-Ravary, L., & Beet, S. W. (2013). Automatic speech signal analysis for clinical diagnosis and assessment of speech disorders. New York, NY: Springer."},{"key":"9746_CR6","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/j.eij.2016.04.001","volume":"17","author":"MM El-Gayyar","year":"2016","unstructured":"El-Gayyar, M. M., Ibrahim, A. S., & Wahed, M. (2016). Translation from Arabic speech to Arabic Sign language based on cloud computing. Egyptian Informatics Journal, 17, 295\u2013303.","journal-title":"Egyptian Informatics Journal"},{"key":"9746_CR7","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1016\/B978-044450896-6.50010-8","volume-title":"Handbook of Heavy Tailed Distribution in Finance","author":"P Embrechts","year":"2003","unstructured":"Embrechts, P. (2003). Modelling Dependence with Copulas and Applications to Risk Management. In F. Lindskog, A. McNeil, & S. Rachev (Eds.), Handbook of Heavy Tailed Distribution in Finance (pp. 329\u2013384). Amsterdam: Elsevier."},{"key":"9746_CR8","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.ejenta.2012.04.004","volume":"13","author":"H Gad-Allah","year":"2012","unstructured":"Gad-Allah, H., Abd-Elraouf, S., Abou-Elsaad, T., & Abd-Elwahed, M. (2012). Identification of communication disorders among Egyptian Arabic-speaking nursery school children. Egyptian Journal of Ear, Nose, Throat and Allied Sciences, 13, 83\u201390.","journal-title":"Egyptian Journal of Ear, Nose, Throat and Allied Sciences"},{"key":"9746_CR9","unstructured":"Ganchev, T., Fakotakis, N., & Kokkinakis, G. (2005). Comparative evaluation of various MFCC implementations on the speaker verification task. In: International conference speech and computer. pp. 191\u2013194."},{"key":"9746_CR10","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1561\/2000000034","volume":"4","author":"MR Gupta","year":"2011","unstructured":"Gupta, M. R., & Chen, Y. (2011). Theory and use of the EM algorithm. Foundations and Trends I Signal Processing, 4, 223\u2013296.","journal-title":"Foundations and Trends I Signal Processing"},{"key":"9746_CR11","unstructured":"Hai, J., & Joo, E.M. (2003). Improved linear predictive coding method for speech recognition. In: International conference on information, communications and signal processing. pp. 1614\u20131618."},{"key":"9746_CR12","doi-asserted-by":"crossref","unstructured":"Hammami, N., Bedda, M., Farah, N., & Mansouri, S. (2015). \/r\/-Letter disorder diagnosis (\/r\/-LDD): Arabic speech database development for automatic diagnosis of childhood speech disorders. In: IEEE conference on intelligent systems and computer vision; pp. 1\u20137.","DOI":"10.1109\/ISACV.2015.7105542"},{"key":"9746_CR13","doi-asserted-by":"crossref","unstructured":"Hanani, A., Attari, M., Farakhna, A., Hussein, M., Jomaa, A., & Taylor, S. (2016). Automatic identification of articulation disorders for Arabic children speakers. In: Workshop on child computer interaction. pp. 35\u201339.","DOI":"10.21437\/WOCCI.2016-6"},{"key":"9746_CR14","doi-asserted-by":"crossref","unstructured":"Honig, F., Stemmer, G., Hacker, C., & Brugnara, F. (2005). Revising Perceptual Linear Prediction (PLP). In: European conference on speech communication and technology. pp. 2997\u20133000.","DOI":"10.21437\/Interspeech.2005-138"},{"key":"9746_CR15","doi-asserted-by":"crossref","unstructured":"Ijitona, TB., Soraghan, JJ., Lowit, A., Di-Caterina, G., & Yue, H. (2017). Automatic detection of speech disorder in dysarthria using extended speech feature extraction and neural networks classification. In: International conference on intelligent signal processing. pp. 1\u20136.","DOI":"10.1049\/cp.2017.0360"},{"issue":"9","key":"9746_CR16","doi-asserted-by":"publisher","first-page":"1581","DOI":"10.1109\/TNSRE.2017.2681691","volume":"25","author":"M Kim","year":"2017","unstructured":"Kim, M., Kim, Y., Yoo, J., Wang, J., & Kim, H. (2017). Regularized speaker adaptation of KL-HMM for dysarthric speech recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(9), 1581\u20131591.","journal-title":"IEEE Transactions on Neural Systems and Rehabilitation Engineering"},{"key":"9746_CR17","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1007\/s10772-017-9460-y","volume":"20","author":"IA Lawal","year":"2017","unstructured":"Lawal, I. A. (2017). Spoken character classification using abductive network. International Journal of Speech Technology, 20, 881\u2013890.","journal-title":"International Journal of Speech Technology"},{"key":"9746_CR18","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/978-3-319-89803-2_12","volume-title":"Learning from data streams in evolving environments: Methods and applications","author":"IA Lawal","year":"2019","unstructured":"Lawal I. A. (2019). Incremental SVM learnin: Review. In Sayed-Mouchaweh Moamar (Ed.), Learning from data streams in evolving environments: Methods and applications (pp. 279\u2013296). New York: Springer."},{"key":"9746_CR20","unstructured":"Logan, B. (2000) Mel frequency cepstral coefficients for music modeling. In: International symposium on music information retrieval."},{"key":"9746_CR21","volume-title":"An introduction to copulas","author":"RB Nelsen","year":"2006","unstructured":"Nelsen, R. B. (2006). An introduction to copulas (2nd ed.). New York, NY: Springer.","edition":"2"},{"key":"9746_CR22","doi-asserted-by":"crossref","unstructured":"Paliwal, K. K., Lyons, J. G., & W\u00f3jcicki, K. K. (2010). Preference for 20\u201340 ms window duration in speech analysis. In: International conference on signal processing and communication systems; pp. 1\u20134.","DOI":"10.1109\/ICSPCS.2010.5709770"},{"key":"9746_CR23","first-page":"554","volume-title":"Advances in neural information processing systems","author":"CE Rasmussen","year":"2000","unstructured":"Rasmussen, C. E. (2000). The infinite gaussian mixture model. In S. A. Solla, T. K. Leen, & K. M\u00fcller (Eds.), Advances in neural information processing systems (pp. 554\u2013560). Cambridge: MIT Press."},{"key":"9746_CR24","doi-asserted-by":"crossref","unstructured":"Sithara, A., Thomas, A., & Mathew, D. (2018). Study of MFCC and IHC feature extraction methods with probabilistic acoustic models for speaker biometric applications. In: International conference on advances in computing and communications. pp. 267\u2013276.","DOI":"10.1016\/j.procs.2018.10.395"},{"key":"9746_CR25","doi-asserted-by":"crossref","unstructured":"Terbeh, N., Trigui, A., Maraoui, M., & Zrigui, M. (2016). Arabic speech analysis to identify factors posing pronunciation disorders and to assist learners with vocal disabilities. In: International conference on engineering and MIS; pp. 1\u20138.","DOI":"10.1109\/ICEMIS.2016.7745296"},{"key":"9746_CR26","doi-asserted-by":"publisher","first-page":"16246","DOI":"10.1109\/ACCESS.2018.2816338","volume":"6","author":"L Verde","year":"2018","unstructured":"Verde, L., De Pietro, G., & Sannino, G. (2018). Voice disorder identification by using machine learning techniques. IEEE Access, 6, 16246\u201316255.","journal-title":"IEEE Access"},{"key":"9746_CR19","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139565608","volume-title":"Bayesian probability theory: Applications in the physical sciences","author":"V von der Linden","year":"2014","unstructured":"von der Linden, W., Dose, V., & Toussaint (2014). Bayesian probability theory: Applications in the physical sciences (1st ed.). Cambridge: Cambridge University Press.","edition":"1"},{"key":"9746_CR27","unstructured":"Wehr, H. (1979). Arabic-English Dictionary: The Hans Wehr Dictionary of Modern Written Arabic. Cowan J M. editor. 4th ed. Spoken Language Services Inc."},{"key":"9746_CR28","doi-asserted-by":"crossref","unstructured":"Wu, H., Soraghan, J., Lowit, A., & Di Caterina, G. (2018). A deep learning method for pathological voice detection using convolutional deep belief networks. In: Interspeech. pp. 446\u2013450.","DOI":"10.21437\/Interspeech.2018-1351"},{"key":"9746_CR29","unstructured":"You, C. H., Li, H., & Lee, K. A. (2010). A GMM supervector approach to language recognition with adaptive relevance factor. In: 18th European signal processing conference. pp. 1993\u20131997."},{"key":"9746_CR30","doi-asserted-by":"crossref","unstructured":"Zhang, S., Liu, C., Yao, K., & Gong, Y. (2015). Deep neural support vector machines for speech recognition. In: International conference on acoustics, speech and signal processing (pp. 4275\u20134279).","DOI":"10.1109\/ICASSP.2015.7178777"}],"container-title":["International Journal of Speech Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-020-09746-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10772-020-09746-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-020-09746-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,6]],"date-time":"2021-09-06T23:16:09Z","timestamp":1630970169000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10772-020-09746-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9]]},"references-count":30,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,9]]}},"alternative-id":["9746"],"URL":"https:\/\/doi.org\/10.1007\/s10772-020-09746-3","relation":{},"ISSN":["1381-2416","1572-8110"],"issn-type":[{"value":"1381-2416","type":"print"},{"value":"1572-8110","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9]]},"assertion":[{"value":"1 July 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 August 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 September 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}