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Performance assessment of noise reduction methods applied to underwater acoustic signals

This paper presents an objective evaluation of state-of-the-art single channel noise reduction algorithms. The evaluation is performed on a representative real data set of underwater acoustic records. Rationales used to process the proposed evaluation are mean squared error, global signal-to-noise ratio (SNR), segmental SNR and mean squared spectral error. Moreover, this first quantitative evaluation is followed by a perceptual evaluation based on the scores obtained from peoples ranking the quality of each record, with a simple rating rule running from one (poor) to five (perfect). Finally, the results obtained with the denoising methods selected in this study are described to establish the pros and cons of each method, when compared, according to our proposed evaluation criteria.