Design and implementation of restoration techniques for audio denoising applications

Speech and music signals are mainly subject to localized and globalized degradations. Localized distortions, such as clipping, and clicks, due to old recordings or scratched CDs where the intervals of distorted samples are surrounded by undistorted samples. Globalized degradation such as broadband noise, where whole samples are affected by noise. Audio restoration is a technique for restoring the audio signals from these distortions. In this paper, audio restoration techniques for removing clipping, clicks and broadband noise are defined. Recent approaches to solving audio restoration problem is with respect to sparse representation algorithms. Clipping distortion is addressed with a Sparse representation framework, it is treated as an inverse problem, where one observes un-clipped samples while the missing samples to be estimated for that, they are embedded in frame based scheme, and reconstructed by using an OLA approach in conjunction with OMP algorithm using Gabor/DCT dictionary. Broadband denoising is done by using spectral subtraction method. Click removal is done by using the basics of adaptive signal processing. Performance measures are done based on perception, average SNR calculation and defined parameter variations. This paper also targeting towards the software and hardware implementation of the restoration methods using TMS320C6713 DSK kit with help of tools mainly MATLAB and Code Composer studio.