Sixth International Conference on Spoken Language Processing
October 16-20, 2000
Signal Approximation in Hilbert Space and its Application on Articulatory Speech Synthesis
Jun Huang, Stephen Levinson, Mark Hasegawa-Johnson
Department of Electrical and Computer Engineering,
University of Illinois, Urbana, IL, USA
In this paper, we apply signal approximation theory to
estimate the articulatory trajectory for a nonlinear speech
synthesizer. First, we analyze the L2 error bounds of interpolation
and LS approximation in the Hilbert space framework.
Second, we use two signal approximation techniques,
specifically, cubic spline interpolation and the LS approximation
to estimate the trajectory of articulatory parameters
given the static articulatory parameters of discrete
phonemes. In our articulatory speech synthesizer, we assume
that the sound propagation inside the human vocal
tract is a three-dimensional non-plane wave propagation inside
a viscous fluid described by the governing Navier-Stoke
equations. Finally, we present some experimental results
of the estimated articulatory trajectories of English diphthongs
and the synthesized phonemes.
Huang, Jun / Levinson, Stephen / Hasegawa-Johnson, Mark (2000):
"Signal approximation in Hilbert space and its application on articulatory speech synthesis",
In ICSLP-2000, vol.2, 775-778.