A local projective noise reduction scheme, originally developed for low-dim
ensional stationary deterministic chaotic signals, is successfully applied
to human speech. This is possible by exploiting properties of the speech si
gnal which resemble structure exhibited by deterministic dynamical systems.
In high-dimensional embedding spaces, the strong inherent nonstationarity
is resolved as a sequence of many different dynamical regimes of moderate c
omplexity.