International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 170 - Number 7 |
Year of Publication: 2017 |
Authors: Akash A. Salmuthe, Rajesh K. Agrawal |
10.5120/ijca2017914912 |
Akash A. Salmuthe, Rajesh K. Agrawal . Adaptive Weiner Filter for Speech Enhancement under Various Noisy Conditions. International Journal of Computer Applications. 170, 7 ( Jul 2017), 9-11. DOI=10.5120/ijca2017914912
The performance of a noisy speech enhancement algorithm depends on the estimation of the priori signal-to-noise ratio (SNR). The most commonly used approach to estimate the priori SNR parameter uses Decision-Directed (DD), Two Step Noise Reduction (TSNR) and Harmonic Regeneration Noise Reduction (HRNR) method. Two-step noise reduction (TSNR) method eliminate this problem decision-directed method. Common short-time noise reduction techniques introduce harmonic distortion in enhanced speech because of the non-reliability of estimators for small signal to-noise ratios. A simple but effective harmonic regeneration method called Harmonic Regeneration Noise Reduction (HRNR) is used to overcome this problem.