S. Georges (Lebanon)
: Digital Signal Processing, SpeechRecognition, MATLAB, Algorithms, Training andTesting
-- Speech recognition is the analysis side of the subject of machine speech processing. The synthesis side might be called speech production. These two taken together allow computers to work with spoken language. The aim of this research is to develop a MATLAB program that can be used to read the speech of a user from a microphone which is connected to the computer, analyze the speech and then converting it into written text. A comparison between three different recognition classification algorithms that are used with training and testing data from two distinct vocabularies is presented. The Correlation classification algorithm in the experiment proved to be better than the Euclidean Distance and the K-nearest neighbor algorithms. The training and testing data were collected and recorded with both male and female voices.
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