Sentence examples for visual synthesis from inspiring English sources

Experimental results have shown the performances of visual synthesis methods by root mean square errors.

Analogously for visual synthesis short sections of captured speech movements can be blended together to produce animation.

Visual synthesis methods are then investigated, including a phoneme-based articulatory model with a modified blending method.

For the time being, we have not focused on expressiveness of the visual synthesis in terms of emotional content as in Cao et al. [28].

It may also be driven by carefully obtained annotations of the speech material, if the aim is to test the effects of the visual synthesis models alone.

It is probably possible to provide some conclusion on the quality of the visual synthesis based on the obtained visual trajectories shown in Figure7, for instance.

They were synthesized using our acoustic-visual synthesis method.

We made a video for each acoustic-visual synthesis result.

We also presented a perceptual and subjective evaluations of the bimodal acoustic-visual synthesis.

Similar to the first experiment, among the 20 sentences, we used seven in-corpus sentences that were in the corpus used by the acoustic-visual synthesis.

This paper presents a bimodal acoustic-visual synthesis technique that concurrently generates the acoustic speech signal and a 3D animation of the speaker's outer face.