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Speech enhancement is a long standing problem with various applications like telephone conversation and speech recognition. The corruption of speech due to presence of additive background noise causes severe difficulties in various communication environments. If the background noise is evolving more slowly than the speech, then the estimation of the noise during speech pauses is easier as compared to non stationary noise. If in case the Noise is varying rapidly then estimation is more difficult. This paper focuses on the class of single-channel noise reduction methods that are performed with frequency domain using short-time Fourier Transform (STFT). There are number of publications and implementations on noise reduction systems. But, there are still some issues in non- stationary noisy systems. This single-channel approach is more dominant and effective approach for practical systems. From last few years, algorithms have been proposed for this problem but most of them are worked on noisy signal in current frame. So in this paper we are trying to propose the new model using Wiener filter by using the concept of multi-frame approach with different window sizes and overlaps. The proposed method shows the results with its superiority.