TITLE:
A Robust Denoising Algorithm for Sounds of Musical Instruments Using Wavelet Packet Transform
AUTHORS:
Raghavendra Sharma, Vuppuluri Prem Pyara
KEYWORDS:
DWPT; Adaptive Block Denoising; Peak Signal to Noise Ratio; Wavelet Thresholding
JOURNAL NAME:
Circuits and Systems,
Vol.4 No.7,
November
8,
2013
ABSTRACT: In this paper, a robust DWPT based adaptive bock algorithm with
modified threshold for denoising the sounds of musical instruments shehnai,
dafli and flute is proposed. The signal is first segmented into multiple blocks
depending upon the minimum mean square criteria in each block, and then
thresholding methods are used for each block. All the blocks obtained after
denoising the individual block are concatenated to get the final denoised
signal. The discrete wavelet packet transform provides more coefficients than
the conventional discrete wavelet transform (DWT), representing additional
subtle detail of the signal but decision of optimal decomposition level is very
important. When the sound signal corrupted with additive white Gaussian noise
is passed through this algorithm, the obtained peak signal to noise ratio
(PSNR) depends upon the level of decomposition along with shape of the wavelet.
Hence, the optimal wavelet and level of decomposition may be different for each
signal. The obtained denoised signal with this algorithm is close to the
original signal.c