Wavelet transform based features vector extraction in isolated words speech recognition system
Salih Mahdi Al-Qaraawi, Sarah Shukur Mahmood · 2014
The aim of this paper is to develop an algorithm that uses wavelet transform and energy to extract and represent features of the acquired speech signals as a basis for accurate method of identifying and classifying speech signals according to their features. Feed-forward neural network is used in recognition of English spoken words with back propagation learning algorithm. It is important to mention that due to its generality, this method can be applied to recognise many languages.