Improvement of Acoustic Localization Using the STSA denoising with a novel Suppression Rule
This paper proposes innovative de-noise filters in a framework, whose aim is the localization of an acoustic source in a noisy environment. The main focuses are the automatic detection of transient sound events and the separation of the events of interest from the noise. A microphone array is used to capture timespatial information and an adaptive filter can be initialized to learn the ambient noise spectrum when signals of interest are absent. We propose an algorithm based on the Short Time Spectral Attenuation method to remove the noise from each sensor of the array, before the source localization task is performed. The Time Difference Of Arrival (TDOA) methods are used for multiple sources localization. The experimental results show the efficiency of our framework in stationary noisy environments.