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HMM parameters estimation based on cross-validation for Spoken Arabic Digits recognition

This paper presents automatic recognition of the Spoken Arabic Digits recognition by means of preselected parameters for the Hidden Markov Models using the cross validation method. The experimental results give the best result with the obtained parameters, achieve 94.09% correct digit recognition dataset and confirm the promising capabilities of the proposed approach compared to the previous work that uses the same dataset.