Extraction of control parameters for the voice source in a
J. de Veth; B. Cranen; H. Strik & L. Boves (1990)
Proceedings Int. Conference on Acoustic, Speech and Signal Processing (ICASSP-90), pp. 301-304.
Developers of high-quality text-to-speech systems are increasingly concerned
with voice source control rules. In order to derive such rules from natural
speech, the parameters of a source model must be derived from the acoustic
signal. This is done by parameterizing the results of glottal inverse filtering.
In this paper we compare a number of different inverse filtering procedures
and the ease with which their results can be parameterized. It is shown
that Closed Glottis Interval Covariance LPC is equally powerful as more
sophisticated techniques, because it is the only known method that can strictly
be limited to the closed glottis interval.