Spectral enhancement based on global soft decision

Abstract

In this letter, we propose a novel speech enhancement technique based on global soft decision. The proposed approach provides a unified framework for such procedures as speech absence probability (SAP) computation, spectral gain modification, and noise spectrum estimation using the same statistical model assumption. Performances of the proposed enhancement algorithm are evaluated by subjective tests under various environments and show better results compared with the IS-127 standard enhancement method.