ON THE REGISTRATION OF TIME AND THE PATTERNING OF SPEECH MOVEMENTS

In order to study speech coordination we frequently average kinematic and other physiological signals. The averages are assumed to be more r epresentative of the underlying patterns of production than individual records. In this note we outline different approaches to averaging an d present a new nonlinear normalization technique that offers better i nformation than ensemble averaging, linear normalization, or feature a lignment methods. We suggest that this technique provides a clear esti mation of pattern shape while preserving information on the variation over time.