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60 results for “Arabic Q/A system”
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Research ArticleOpen accessIn the abstractExtraction of Arabic Standard MicromelodyA. Chentir, M. Guerti, D. J. HirstProblem statement: In the early days of speech synthesis research the obvious focus of attention was intelligibility. But many researchers agree that the major remaining obstacle to fully acceptable synthetic speech is that it continues to be insufficiently natural. Approach: In this study, we exploited microvariations of fundamental frequency (F0) of speech (intrinsic and co-intrinsic effects) to extract micromelody effect … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,284 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification by Discriminant Analysis of Energy in View of the Detection of Accented Syllables in Standard ArabicA. Chentir, M. Guerti, D. J. HirstProblem Statement: Current algorithms for the recognition and synthesis of Arabic prosody concentrate on identifying the primary stressed syllable of accented words on the basis of fundamental frequency. Generally, the three acoustic parameters used in prosody are: Fundamental frequency, duration and energy. Approach: In this study, we exploited the acoustic parameter of energy by means of a classification by a … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,824 accessesView PDFCite
Research ArticleOpen accessIn the abstractPre-editing and Recursive-Phrase Composites for a Better English-to-Arabic Machine TranslationMansoor Al-A'aliThis research presents an approach for an English-to-Arabic Machine Translation System based on Building correct grammar and phrase structures first and then automatically deriving Translation Rules for phrase translation. For every English phrase, the grammar is first analysed and then a corresponding Arabic translation is given which would be used by the machine learning system to produce a translation rule … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 6,994 accessesView PDFCite
Research ArticleOpen accessIn the abstractCASRA+: A Colloquial Arabic Speech Recognition ApplicationRamzi A. Haraty, Omar El ArissThe research proposed here was for an Arabic speech recognition application, concentrating on the Lebanese dialect. The system starts by sampling the speech, which was the process of transforming the sound from analog to digital and then extracts the features by using the Mel-Frequency Cepstral Coefficients (MFCC). The extracted features are then compared with the system's stored model; in this … …American Journal of Applied Sciences, Vol. 4, Issue 1 · 30 Apr 2007 · 7,517 accessesView PDFCite
Research ArticleOpen accessIn the abstractProbabilistic Artificial Neural Network For Recognizing the Arabic Hand Written CharactersKhalaf khatatneh, Ibrahiem M.M. El Emary, Basem Al-RifaiThe objective of this study was to present a new technique assists in developing a recognition system for handling the Arabic Hand Written text. The proposed system is called Arabic Hand Written Optical Character Recognition (AHOCR). AHOCR was concerned with recognition of hand written Alphanumeric Arabic characters. In the present work, extracted characters are represented by using geometric moment invariant … …Journal of Computer Science, Vol. 2, Issue 12 · 31 Dec 2006 · 6,911 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeech Enhancement Based on Adaptive Noise Cancellation and Particle Swarm OptimizationTayseer M.F. Taha, Summrina Kanwal Wajid, Amir HussainSpeech enhancement is used in almost all modern communication systems. This is due to the quality of speech being degraded by environmental interference factors, such as: Acoustic additive noise, acoustic reverberation or white Gaussian noise. This paper, explores the potential of different benchmark optimization techniques for enhancing the speech signal. This is accomplished by fine tuning filter coefficients using a … …Journal of Computer Science, Vol. 15, Issue 5 · 28 May 2019 · 7,729 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing the Environmental Kuznets Curve to Study the Mutual Effects between CO2 Emissions and Economic Growth in JordanMohaned Al-Hamdi, Mohammad Alawin, Kais Alwan, Saeed Al-TarawnehThis article has been retracted at the request of the corresponding author. One of the conditions of submission of a paper for publication is that authors declare explicitly that their work is original and has not appeared in a publication elsewhere. Re-use of any data should be appropriately cited. As such this article represents an abuse of the scientific publishing … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 3 · 27 Sep 2016 · 8,041 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Multi-form Multiple Choice Editor Exam Tool Based on HTML Website and Artificial Intelligence TechniquesA. Rjoub, Y. Eyadat, A. Ghazawi et al.Problem statement: The educators argue that in the post modern world changes in the nature of work, globalization, the information revaluation and today's social challenges will all impact on educational priorities and thus will require a new mode of assessment. Approach: The objectives of this study were to: (1) Present a novel software package tool to create multiple choice and … …Journal of Computer Science, Vol. 5, Issue 6 · 30 Jun 2009 · 7,033 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordSpeech Corpora for Different Languages: A Systematic ReviewVladimir Igorevich Fedoseev, Anton Aleksandrovich Konev, Natalia Sergeevna RepyukThe study of speech signals relies on carefully curated audio recordings, which are compiled and stored within specialized speech corpora. This article provides a comprehensive overview of such corpora across multiple languages, with particular focus on Russian, English, and Arabic. It notes that Russian and Arabic are represented by fewer corpora compared to the more extensive resources available for English. … …Journal of Computer Science, Vol. 22, Issue 1 · 2 Feb 2026 · 1,781 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEffect of Hidden Layer Neurons on the Classification of Optical Character Recognition Typed Arabic NumeralsNidal F. Shilbayeh, Mahmoud Z. IskandaraniProblem statement: The effect of varying the number of nodes in the hidden layer and number of iterations are important factors in the recognition rate. In this paper, a novel and effective criterion based on Cross Pruning (CP) algorithm is proposed to optimize number of hidden neurons and number of iterations in Multi Layer Perceptron (MLP) neural based recognition system. … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 7,556 accessesView PDFCite