Sentence examples for phonetic shape from inspiring English sources

Because of the superficial changes in the phonetic shape of the language over 2,000 years and because of the borrowing of words from neighbouring cultures, the continuity of the Indo-European heritage in Albanian has been underrated.

All the circumstances just mentioned can be motives for the choice, in addition to many other personal reasons, such as a consideration for the relatives' names or a simple liking of the phonetic shape of a given name.

Findings suggest that priming effects in dialogue are not obligatory but may be motivated, and that phonetic adaptation is shaped by awareness of a partner's pragmatic needs.

In the ensuing processes its phonological shape, the phonetic gesture, and the corresponding motor program all will be produced before the counterparts of the proposition.

They compared phonetic accuracy and movement pattern stability during the production of phonetic forms with and without lexical representation (a visual referent and/or object function).

Characters reflect shape distinction needed to perceive different phonetic information of words.

Figure 1 A facial animation system generally comprises three modules: the control model that computes a gestural score given the phonetic content of the message to be uttered, a shape model that computes the facial geometry, and an appearance model that computes the final appearance of the face on screen.

Such studies have shown that early language experience is crucial in the development of speech perception skills and that this experience shapes the acquisition and structure of underlying phonetic categories (see, e.g., native language magnet theory; Kuhl, 2004).

The shapes are largely consistent with previously reported Thai phonetic descriptions.

The phonetic context is required due to the coarticulation, since a particular mouth shape depends not only on its associated phoneme but also on its preceding and succeeding phonemes.

Two original contributions are put forward here: the trainable trajectory formation model that predicts articulatory trajectories of a talking face from phonetic input and the texture model that computes a texture for each 3D facial shape according to articulation.