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Acoustic Impulsive Noise Based on Non-Gaussian Models: An Experimental Evaluation

2019; Multidisciplinary Digital Publishing Institute; Volume: 19; Issue: 12 Linguagem: Inglês

10.3390/s19122827

1424-8220

Danilo Pena, Carlos Magno de Lima, Matheus Dória, Luan Pena, Allan Martins, Vicente A. de Sousa,

Speech and Audio Processing

In general, acoustic channels are not Gaussian distributed neither are second-order stationary. Considering them for signal processing methods designed for Gaussian assumptions is inadequate, consequently yielding in poor performance of such methods. This paper presents an analysis for audio signal corrupted by impulsive noise using non-Gaussian models. Audio samples are compared to the Gaussian, α -stable and Gaussian mixture models, evaluating the fitting by graphical and numerical methods. We discuss fitting properties as the window length and the overlap, finally concluding that the α -stable model has the best fit for all tested scenarios.