Audio surveillance: A systematic review
Despite surveillance systems becoming increasingly ubiquitous in our living environment,
automated surveillance, currently based on video sensory modality and machine …
automated surveillance, currently based on video sensory modality and machine …
Description and discussion on DCASE2020 challenge task2: Unsupervised anomalous sound detection for machine condition monitoring
Y Koizumi, Y Kawaguchi, K Imoto, T Nakamura… - ar** in real-life urban and suburban environments
One of the main aspects affecting the quality of life of people living in urban and suburban
areas is their continued exposure to high Road Traffic Noise (RTN) levels. Until now, noise …
areas is their continued exposure to high Road Traffic Noise (RTN) levels. Until now, noise …
Optimizing acoustic feature extractor for anomalous sound detection based on Neyman-Pearson lemma
Y Koizumi, S Saito, H Uematsu… - 2017 25th European …, 2017 - ieeexplore.ieee.org
We propose a method for optimizing an acoustic feature extractor for anomalous sound
detection (ASD). Most ASD systems adopt outlier-detection techniques because it is difficult …
detection (ASD). Most ASD systems adopt outlier-detection techniques because it is difficult …
AReN: a deep learning approach for sound event recognition using a brain inspired representation
Audio surveillance is gaining in the last years wide interest. This is due to the large number
of situations in which this kind of systems can be used, either alone or combined with video …
of situations in which this kind of systems can be used, either alone or combined with video …