Arabic Isolated Word Speaker Dependent Recognition System
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This work is about a design and implementation of a new Arabic isolated word speaker dependent recognition system based on a combination of several features extraction and classifications techniques. Where the system combines the methods outputs using a voting rule. The proposed system is good and competitive compared with other previous researches with an accuracy up to 95 % and with an execution time less than 1.56 seconds.
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