SPEECH ENHANCEMENT BASED ON SELF ADAPTIVE LAGRANGE MULTIPLIER WITH WEIGHTED PERCEPTUAL WIENER DE-NOISING TECHNIQUE

The most voice based communication systems facing many problems such as lack of perceptual clarity, musical noise or residual noise, speech distortion and noise distortion. The main objective of speech enhancement is to improve the speech quality and intelligibility. By using wiener filter with Lagrange multiplier makes tradeoff between the speech distortion and residual noise, when the value of Lagrange multiplier is greater than or equal to zero otherwise causes speech distortion and residual noise. The perceptual wiener filter also contains some residual noise and there is a nonlinear relationship between the Lagrange multiplier and threshold value causes noise distortion. In this a Psycho acoustically motivated method is used for choosing better Lagrange multiplier value and to avoid nonlinear relationship. The objective evaluation showed that the proposed method performance is better than different existing methods.