“L1 minimization”

A sparse smoothing approach for Gaussian mixture model based acoustic-to-articulatory inversion

Abstract: It is well-known that the performance of the Gaussian mixture model (GMM) based acoustic-to-articulatory inversion (AAI) improves by either incorporating smoothness constraint directly in the inversion criterion or smoothing (low-pass filtering) estimated articulator tra- jectories in a post-processing step, where smoothing is performed independently of the inversion.