Towards End-to-End Acoustic Localization Using Deep Learning: From Audio Signal to Source Position Coordinates
Journal: Preprints.org
Year: 2018

This paper presents a novel approach for indoor acoustic source localization using microphone arrays and based on a Convolutional Neural Network (CNN). The proposed solution is, to the best of our knowledge, the first published work in which the CNN is designed to directly estimate the three dimensional position of an acoustic source, using the raw audio signal as the input information avoiding the use of hand crafted audio features. Given the limited amount of available localization data, we pr