Novelty detection consists in recognising events that deviate from normality. This paper presents the implementation of a real-time statistical novelty detector on the BeagleBoard-xM. The application processes an incoming audio signal, extracts Power Normalized Cepstral Coefficients and determines whether a novelty sound is present or not based on a statistical model of normality. The novelty detector has been implemented as a standalone graphical application capable of running in real-time on the BeagleBoard-xM platform. Experiments have been conducted to assess the performance of the solution in terms of both detection performance and of real-time capabilities. The results demonstrate that the system is able to operate in real-time on the BeagleBoard-xM with a real-time factor equal to 8.10%, and an F-Measure equal to 77.41%.

A Real-Time Implementation of an Acoustic Novelty Detector on the BeagleBoard-xM / Bonfigli, Roberto; Ferroni, Giacomo; Principi, Emanuele; Squartini, Stefano; Piazza, Francesco. - 2014:(2014), pp. 307-311. (Intervento presentato al convegno EDERC 2014 tenutosi a Milano, Italy nel September 11-12 2014) [10.1109/EDERC.2014.6924410].

A Real-Time Implementation of an Acoustic Novelty Detector on the BeagleBoard-xM

Bonfigli, Roberto;FERRONI, GIACOMO;PRINCIPI, EMANUELE;SQUARTINI, Stefano;PIAZZA, Francesco
2014-01-01

Abstract

Novelty detection consists in recognising events that deviate from normality. This paper presents the implementation of a real-time statistical novelty detector on the BeagleBoard-xM. The application processes an incoming audio signal, extracts Power Normalized Cepstral Coefficients and determines whether a novelty sound is present or not based on a statistical model of normality. The novelty detector has been implemented as a standalone graphical application capable of running in real-time on the BeagleBoard-xM platform. Experiments have been conducted to assess the performance of the solution in terms of both detection performance and of real-time capabilities. The results demonstrate that the system is able to operate in real-time on the BeagleBoard-xM with a real-time factor equal to 8.10%, and an F-Measure equal to 77.41%.
2014
9781479968411
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/179903
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