Spoken English Alphabet Recognition with Mel Frequency Cepstral Coefficients and Back Propagation Neural Networks
Tarmizi Adam, Md Sah Salam · International Journal of Computer Applications · 2012
Spoken alphabet recognition as one of the subsets of speechrecognition and pattern recognition has many applications. Unfortunately, spoken alphabet recognition might not be a simple task due to highly confusable set of letters as presented in the English alphabets. The highly acoustic similarities that contribute to the confusability may hinder the accuracy of speech recognition systems. One of the confusable set is called the E-set letters which consist of the