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

Alessia Saggese; Nicola Strisciuglio; Mario Vento; Nicolai Petkov

doi:10.1109/AVSS.2017.8078461

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 proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

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 language	English
Title of host publication	2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	7
ISBN (Electronic)	978-1-5386-2939-0
ISBN (Print)	978-1-5386-2940-6
DOIs	https://doi.org/10.1109/AVSS.2017.8078461
Publication status	Published - 20 Oct 2017
Externally published	Yes
Event	14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017 - Lecce, Italy Duration: 29 Aug 2017 → 1 Sept 2017 Conference number: 14

Conference

Conference	14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
Abbreviated title	AVSS
Country/Territory	Italy
City	Lecce
Period	29/08/17 → 1/09/17

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10.1109/AVSS.2017.8078461

Cite this

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title = "A real-time system for audio source localization with cheap sensor device",

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.",

author = "Alessia Saggese and Nicola Strisciuglio and Mario Vento and Nicolai Petkov",

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Saggese, A, Strisciuglio, N, Vento, M & Petkov, N 2017, A real-time system for audio source localization with cheap sensor device. in 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017., 8078461, IEEE, Piscataway, NJ, 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017, Lecce, Italy, 29/08/17. https://doi.org/10.1109/AVSS.2017.8078461

A real-time system for audio source localization with cheap sensor device. / Saggese, Alessia; Strisciuglio, Nicola; Vento, Mario et al.
2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017. Piscataway, NJ: IEEE, 2017. 8078461.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Vento, Mario

AU - Petkov, Nicolai

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PY - 2017/10/20

Y1 - 2017/10/20

N2 - 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.

AB - 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.

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BT - 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017

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Y2 - 29 August 2017 through 1 September 2017

ER -

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

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