engleski

White Noise Reduction of Audio Signal using Wavelets Transform with Modified Universal Threshold

This paper discusses wavelet-based algorithm for audio denoising. We focused on audio signals corrupted with white noise which is especially hard to remove because it is located in all frequencies. We use Discrete Wavelet transform (DWT) to transform noisy audio signal in wavelet domain. It is assumed that high amplitude DWT coefficients represent signal, and low amplitude coefficients represent noise. Using thresholding of coefficients and transforming them back to time domain it is possible to get audio signal with less noise. We are proposing modified universal thresholding of coefficients which results with better audio signal. The main criterion for evaluation of experimental results was objective degree grade (ODG)

audio denoising; wavelets; thresholding; noise reduction

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