A perceptual signal subspace approach for speech enhancement in colored noise

The major drawback of most noise reduction methods is what is known as musical noise. To cope with this problem, the masking properties of the human ear were used in the spectral subtraction methods. However, no similar approach is available for the signal subspace based methods. In a previous work, we presented a frequency to eigendomain transformation which provides a way to calculate a perceptually based upper bound for the residual noise. This bound, when used in the signal subspace approach, yields an improved result where better shaping of the residual noise is achieved. In this paper, we further improve this method and provide an easy way to generalize it to the colored noise case. Listening tests results are given to show the superiority of the proposed method.