A Perceptually Constrained GSVD-Based Approach for Speech Enhancement

Generalized singular value decomposition is very useful when the additive noise is white.But the residual musical noise is still perceivable under lower signal-to-noise conditions.Therefore, a perceptually constrained GSVD, which is refered to PCGSVD algorithm, is further proposed to incoporate the masking properties of human auditory system to make sure the residual noise to be under the AMTs.