Speaker:
Carlo Drioli
- ISTC-CNR Padova, Dipartimento di Fonetica e Dialettologia
Tuesday, April 19, 2005
at
5:30 PM
Ore 17.00 te, caffe` e pasticcini
Physical modeling of sounds and voice is used to study and simulate the
sound production mechanisms of various acoustic systems and of
phonation.
One major drawback is that fitting a physical model to real data is
usually a very difficult task. We describe an approach to sound and voice
analysis/synthesis which combines the physical modeling and the
black-box
modeling approaches. We discuss in particular the problem of fitting a
physical model of the glottis to glottal flow waveforms obtained by
inverse-filtering of voiced speech signals. A waveform-matched
low-dimensional model of the glottal source is presented, and a
data-driven identification procedure is outlined. A set of inverse-filtered glottal
flow waveforms with different characteristics is used to test the
effectiveness of the method. Experimental results are shown to demonstrate how the
model can reproduce a wide range of target waveforms.
