Noise Reduction and Speech Enhancement Using Wiener Filter

Abstract

Digital data transmission rate may reach over 2.5 Tb/s using the orthogonal frequency division multiplexing (OFDM). Digital speech enhancement is crucial during the pandemic era. This is due to most of information and communication is performed online. However, not all people have private room form digital communication. Therefore, background noise from the indoor condition may distort the speech during the recording. Speech denoising has many benefits for instance in voice communication or voice recognition where fast denoising process are needed. This paper evaluates the use of Wiener Filter for noise reduction. Enhancement of distorted speech by additive noise with only single observation has been done and still a challenging problem. We add the noise to the sample clean speech to obtain noisy speech. We generate noise level for SNR 0 up to 0.5dB with increment 0.01dB. We choose low SNR to represent high additive noise. We further apply Wiener Noise Reduction to the noisy speech to obtain filtered noisy speech. Finally, we compare the Mean Square Error (MSE) of filtered speech and the original speech for every noise level. The results show that the noise has been decreased. The non-speech parts now appear better since the noisy part have been suppressed. Our experiment shows that the proposed technique successfully improves the speech in noisy environment up to order of .