Luthic: Difference between revisions

The concept of “information density” relates to how languages convey semantic information within the speech signal. Essentially, a language is considered dense if it uses fewer speech elements to convey a given amount of semantic meaning compared to a sparser language. Units such as features or articulatory gestures involve complex multidimensional patterns (such as gestural scores or feature matrices) that are unsuitable for computing average information density during speech communication. In contrast, each speech sample can be described in terms of discrete sequences of segments or syllables, which are potential candidates, although their exact significance and role in communication remain uncertain. Therefore, this study opts to utilise syllables for both methodological and theoretical reasons.