![]() |
SAPA-SCALE Conference 2012Portland, OR, USA |
![]() |
Human speech production is often described as an optimisation
process, which tends to maximise the effectiveness of the
communication process minimising the effort involved in the
production.
The aim of this paper is to investigate this highly complex
problem with two dimensionally reduced spaces corresponding
to different computational models. Since the highdimensional
parameter space which usually describes such a
problem is often an issue in the optimal-behaviour computation,
two-dimensional models are proposed. The first one analyses
the best trajectories visiting the proximity of a set of randomly
chosen points. The second one explores the F1-F2 vowel space
trying to maximise a set of likelihood functions describing some
human production characteristics.
Even though such models need further development, some
preliminary correspondences can be observed with some of
the elements described in the most popular theories for human
speech production. For example, the distance between close
competitors directly influences the best trajectory computation
and, therefore, the effort needed to achieve the desired tasks.
The trajectory planning is also controlled by the degree of motivation
selected to achieve the desired accuracy: the higher the
motivation, the more the target must be addressed.
Index Terms: human speech production model, reactive production model, hyper/hypo-articulation model, optimisation strategies, trajectory planning
Bibliographic reference. Nicolao, Mauro / Moore, Roger K. (2012): "Establishing some principles of human speech production through two-dimensional computational models", In SAPA-SCALE-2012, 5-10.