Visual speech recognition - Eldirawy, Ikrami;Ashour, Wesam
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A new algorithm to recognize the numbers from "one" to "ten" in the arabic language in this thesis. Analyzing a series of images for the speaker is the backboon of the thesis, detecting the first frame, the end frame, the motion vectore, and finally extracting the moment features from the motion vectore. A database consist of ten speakers are used in testing the results, every speaker pronounce the ten words fifteen times. Three recognition methods are used, K-mean, Fuzzy_kmean, and K-NN. The database is devided into two parts, the first part is to test which recognition method is the best for our purpose, while the second is for testing…mehr

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Produktbeschreibung
A new algorithm to recognize the numbers from "one" to "ten" in the arabic language in this thesis. Analyzing a series of images for the speaker is the backboon of the thesis, detecting the first frame, the end frame, the motion vectore, and finally extracting the moment features from the motion vectore. A database consist of ten speakers are used in testing the results, every speaker pronounce the ten words fifteen times. Three recognition methods are used, K-mean, Fuzzy_kmean, and K-NN. The database is devided into two parts, the first part is to test which recognition method is the best for our purpose, while the second is for testing
Autorenporträt
This research was done in fulfillment of the master degree. A new algorithm was invented to manipulate the problem of visual-only speach recognition based on analyzing a series of images of the user.