Malayalam vowel recognition based on linear predictive coding parameters and k-NN algorithm

Accurate vowel recognition forms the backbone of most successful speech recognition systems. A collection of techniques exists to extract the relevant features from the steady-state regions of the vowels both in time as well as infrequency domains. In this paper we present a novel and accurate feature extraction technique for recognizing Malayalam spoken vowels based on Linear Predictive Coding method and compared the result with wavelet packet decomposition method. Recognition is performed using k-NN pattern classifier The classification is conducted for 5 Malayalam vowel sounds using training and test set consisting of 50 (10 from each class) samples each. The overall recognition accuracy obtained for the vowel using LPC feature extraction method is 94%. The proposed method is efficient and computationally less expensive. The experimental results demonstrate the efficiency of the proposed algorithm.