Model-Based Eigenspectrum Estimation for Speech Enhancement

The enhancement of noisy speech in the eigenspectrum domain requires an estimate of the clean speech eigenspectrum. In this paper, we develop a model for clean speech eigenspectrum for a speaker and use it to constrain the estimation process. As a result, the estimate is contained by the acoustic space defined by the model and is thus robust even for high levels of noise.