This paper proposes a new large-scale dataset called" ToyADMOS2" for anomaly detection
in machine operating sounds (ADMOS). As did for our previous ToyADMOS dataset, we …

In this paper, we present the task description and discuss the results of the DCASE 2020
Challenge Task 2: Unsupervised Detection of Anomalous Sounds for Machine Condition …

Anomalous sound detection (ASD) is the task of identifying whether the sound emitted from
an object is normal or anomalous. In some cases, early detection of this anomaly can …

With the development of multi-modal man-machine interaction, audio signal analysis is
gaining importance in a field traditionally dominated by video. In particular, anomalous …

Acoustic-based diagnosis (ABD) is a promising method for rotating machinery fault detection
in real-industrial fields due to its advantage of non-contact measurement by air-couple …

Multimedia anomaly datasets play a crucial role in automated surveillance. They have a
wide range of applications expanding from outlier objects/situation detection to the detection …

The capability of learning and generalizing from very few samples successfully is a
noticeable demarcation separating artificial intelligence and human intelligence. Despite the …

Inaudible voice attacks silently inject malicious voice commands into voice assistants to
manipulate voice-controlled devices such as smart speakers. To alleviate such threats for …

Detecting and preventing industrial machine failures are significant in the modern
manufacturing industry because machine failures substantially increase both maintenance …

Abstract Machine learning has an important role to create intelligent applications for Industry
4.0, and main objective of this paper is to contribute Industry 4.0 by using a sound signal …