High-resolution dynamic speech imaging with joint low-rank and sparsity constraints.

ABSTRACT:

Purpose

To enable dynamic speech imaging with high spatiotemporal resolution and full-vocal-tract spatial coverage, leveraging recent advances in sparse sampling.

Methods

An imaging method is developed to enable high-speed dynamic speech imaging exploiting low-rank and sparsity of the dynamic images of articulatory motion during speech. The proposed method includes: (a) a novel data acquisition strategy that collects spiral navigators with high temporal frame rate and (b) an image reconstruction method that derives temporal subspaces from navigators and reconstructs high-resolution images from sparsely sampled data with joint low-rank and sparsity constraints.

Results

The proposed method has been systematically evaluated and validated through several dynamic speech ex

SUBMITTER: Fu M 

PROVIDER: S-EPMC4261062 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature