Audio Signal Enhancement using Non-diagonal Estimator
K. Sreedhar, Department of Electronics and Communication Engineering, VITS-SET (N9), Karimnagar, Andhra Pradesh, India.
Manuscript received on August 13, 2011. | Revised Manuscript received on August 19, 2011. | Manuscript published on September 05, 2011. | PP: 60-66 | Volume-1 Issue-4, September 2011. | Retrieval Number: D085071511/2011©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Audio signals are often contaminated by background environment noise and buzzing or humming noise from audio equipments. Audio denoising aims at attenuating the noise while retaining the underlying signals. Removing noise from audio signals requires a nondiagonal processing of time-frequency coefficients to avoid producing “musical noise.” A block thresholding estimation procedure is introduced, which adjusts all parameters adaptively to signal property by minimizing a Stein estimation of the risk. Non Diagonal time-frequency audio denoising algorithm attenuates the noise by processing each spectrogram coefficient independently. This Estimator is to minimize the error between clean signal and the enhanced signal. Numerical experiments demonstrate the performance and robustness of this procedure through objective and subjective evaluations.
Keywords: Audio Denoising, Block Thresholding, Audio signal processing, STFT Transform, Spectrogram, Time-Frequency Audio Denoising, Adaptive Block Thresholding