Anomaly Sound Detection

Natural Environment Protection

Description

Anomalous Sound Detection (ASD) is an emerging field that leverages audio signal processing, anomaly detection and feature extraction to provide accurate detection of anomalous events. In this context, we propose a Graph Signal Processing (GSP) approach for ASD method based on Graph embedding and filtering and One-Class SVMs (GOCSVM).

Collaborators

Bradford University Telecom Paris La Rochelle University

Zied MNASRI (Associate Professor)        Jhony GIRALDO (Associate Professor)                Thierry BOUWMANS