Mohamed I. Alkanhal

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—This paper presents a stochastic-based approach for misspelling correction of Arabic text. In this approach, a context-based two-layer system is utilized to automatically correct misspelled words in large datasets. The first layer produces a list in which possible alternatives for each misspelled word are ranked using the Damerau–Levenshtein edit distance.(More)
The aim of this paper is to present an Arabic speech database that represents Arabic native speakers from all the cities of Saudi Arabia. The database is called the Saudi Accented Arabic Voice Bank (SAAVB). Preparing the prompt sheets, selecting the right speakers and transcribing their speech are some of the challenges that faced the project team. The(More)
Speaker verification is concerned with verifying the speaker's claimed identity. This paper reports on recent experiments we carried out for speaker verification using a Saudi accented Arabic telephone speech database with 1033 speakers. Gaussian Mixture Model was employed in these experiments. In speaker verification, users might produce two or more(More)
Correlation filters have shown good performance results for distortion tolerant applications especially in target and face recognition problems. In this paper, we investigate the performance of these filters when applied to partially occluded human faces. We present a system for eye region recognition based on a special class of unconstrained correlation(More)