TY  - JOUR
AB  - We propose here an HMM-based trajectory formation system
that predicts articulatory trajectories of a talking face from phonetic input. In order to add flexibility to the
acoustic/gestural alignment and take into account anticipatory gestures, a phasing model has been developed that predicts the delays between the acoustic boundaries of allophones to be synthesized and the gestural boundaries of HMM triphones.
The HMM triphones and the phasing model are trained
simultaneously using an iterative analysis-synthesis loop.
Convergence is obtained within a few iterations. We demonstrate here that the phasing model improves
significantly the prediction error and captures subtle context-dependent anticipatory phenomena.
DA  - 2007
LA  - eng
PY  - 2007
TI  - Sixth ISCA Tutorial and Research Workshop on Speech Synthesis (SSW6)
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-19168043
Y2  - 2024-11-21T23:55:50
ER  -