Stop classification using DESA-1 high resolution formant tracking
Jonathan T. Foote, Daniel J. Mashao, H.F. Silverman · IEEE International Conference on Acoustics Speech and Signal Processing · 1993
The results using the DESA-1 (discrete energy separation algorithm-1) quadratic frequency estimator to determine the frequency and rate of change of the second-formant frequency are shown. It is shown for different vowel environments that the DESA-1 algorithm can extract sufficient information to classify stops from vocalic data. The performance is demonstrated to be superior to that of a formant tracker using a more conventional pitch-synchronous LPC (linear predictive coding) analysis. The DESA-1 method is computationally simple enough to be performed in real time.>