Speech Analysis using Fourier-Bessel Expansion and Discrete Energy Separation Algorithm

In this paper, a new technique based on the Fourier-Bessel (FB) expansion is presented for separating multiple formants of a speech signal. The discrete energy separation algorithm (DESA) is applied to an isolated speech formant to extract the instantaneous frequency (IF) and the time-varying amplitude envelope (AE) of the formant. It is demonstrated that the proposed technique which is called the FB-DESA technique is a powerful tool for speech formant analysis. The technique is based on simple principle and it is easy to implement