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Environmental audio scene and sound event recognition for autonomous surveillance: A survey and comparative studies
Monitoring of human and social activities is becoming increasingly pervasive in our living
environment for public security and safety applications. The recognition of suspicious events …
environment for public security and safety applications. The recognition of suspicious events …
Audio event detection using weakly labeled data
Acoustic event detection is essential for content analysis and description of multimedia
recordings. The majority of current literature on the topic learns the detectors through fully …
recordings. The majority of current literature on the topic learns the detectors through fully …
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 …
Sound event detection via dilated convolutional recurrent neural networks
Convolutional recurrent neural networks (CRNNs) have achieved state-of-the-art
performance for sound event detection (SED). In this paper, we propose to use a dilated …
performance for sound event detection (SED). In this paper, we propose to use a dilated …
[PDF][PDF] Acoustic Event Detection Method Using Semi-Supervised Non-Negative Matrix Factorization with Mixtures of Local Dictionaries.
This paper proposes an acoustic event detection (AED) method using semi-supervised non-
negative matrix factorization (NMF) with a mixture of local dictionaries (MLD). The proposed …
negative matrix factorization (NMF) with a mixture of local dictionaries (MLD). The proposed …
Anomalous sound detection using deep audio representation and a BLSTM network for audio surveillance of roads
Y Li, X Li, Y Zhang, M Liu, W Wang - Ieee Access, 2018 - ieeexplore.ieee.org
Surveillance systems based on image analysis can automatically detect road accidents to
ensure a quick intervention by rescue teams. However, in some situations, the visual …
ensure a quick intervention by rescue teams. However, in some situations, the visual …
A closer look at weak label learning for audio events
A Shah, A Kumar, AG Hauptmann, B Raj - ar** for audio classification
L Zhang, Z Shi, J Han - IEEE/ACM Transactions on Audio …, 2020 - ieeexplore.ieee.org
Audio signals are temporally-structured data, and learning their discriminative
representations containing temporal information is crucial for the audio classification. In this …
representations containing temporal information is crucial for the audio classification. In this …