A real-time system for audio source localization with cheap sensor device

Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

We propose an architecture for real-time audio source localization based on the integration of localization methodologies within a framework that employs a cheap acquisition sensor. The architecture that we present takes as input the audio signals from two calibrated microphones. Then, it computes biological-inspired features of the sound signal and estimates its direction by means of a Gaussian Mixture Model estimator. We carried out an extensive experimental analysis on four data sets, one of which we realized and made publicly available. We evaluated several characteristics of the sound localization architecture and its use in real scenarios.

Original languageEnglish
Title of host publication2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages7
ISBN (Electronic)978-1-5386-2939-0
ISBN (Print)978-1-5386-2940-6
DOIs
Publication statusPublished - 20 Oct 2017
Externally publishedYes
Event14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017 - Lecce, Italy
Duration: 29 Aug 20171 Sep 2017
Conference number: 14

Conference

Conference14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
Abbreviated titleAVSS
CountryItaly
CityLecce
Period29/08/171/09/17

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