Towards End-to-End Acoustic Localization Using Deep Learning: From Audio Signals to Source Position Coordinates

Towards End-to-End Acoustic Localization Using Deep Learning: From Audio Signals to Source Position Coordinates

This paper presents a novel approach for indoor acoustic source localization using microphone arrays, based on a Convolutional Neural Network (CNN). In the proposed solution, the CNN is designed to directly estimate the three-dimensional position of a single acoustic source using the raw audio signa...

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Bibliographic Details
Main Authors: Juan Manuel Vera-Diaz, Daniel Pizarro, Javier Macias-Guarasa
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
acoustic source localization
microphone arrays
deep learning
convolutional neural networks
Online Access:http://www.mdpi.com/1424-8220/18/10/3418

Internet

http://www.mdpi.com/1424-8220/18/10/3418

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