A statistical pattern recognition approach to robust recursive identification of nonstationary AR model of speech production system

We propose a new robust recursive procedure based on the weighted recursive least squares (WRLS) algorithm with variable forgetting factor (VFF) and frame-based quadratic classifier for identification of nonstationary AR model of speech. Two versions of the frame-based quadratic classifier design procedure are elaborated upon. Experimental results are obtained in analyzing speech signal on voiced and mixed excitation frames.