Performance of audio signals positioning algorithms in environments with impulsive noise
DOA, audio signals positioning, impulsive noise
Recently, with increasing processing capacity as well as the miniaturization of electronic devices, a number of commercial systems based on the location of audio signals have emerged, such as shot spotter and voice monitoring systems, and residential, among them, entertainment system and home automation (e.g. Google Home and Amazon dot). In the literature, the classical methods of Direction-of-Arrival (DoA) are commonly evaluated in acoustic environments submitted to White Additive Gaussian Noise (AWGN). However, acoustic environments are also subject to impulsive noise, under which the classical methods of DOA estimation have degraded performance. In this way, besides describing and evaluating the performance of classical parametric and non-parametric DOA methods, and demonstrating their respective performances in acoustic environments submitted to AWGN, this work also proposes to present their performance when subjected to the impulsive noise modeled by the Gaussian mixing method. As a last contribution, the methods are tested using real signals from a proprietary acquisition system.