A large-scale benchmark dataset for anomaly detection and rare event classification for audio forensics
With the emergence of new digital technologies, a significant surge has been seen in the
volume of multimedia data generated from various smart devices. Several challenges for …
volume of multimedia data generated from various smart devices. Several challenges for …
An efficientnet-based weighted ensemble model for industrial machine malfunction detection using acoustic signals
Detecting and preventing industrial machine failures are significant in the modern
manufacturing industry because machine failures substantially increase both maintenance …
manufacturing industry because machine failures substantially increase both maintenance …
Semi-supervised machine condition monitoring by learning deep discriminative audio features
I Thoidis, M Giouvanakis, G Papanikolaou - Electronics, 2021 - mdpi.com
In this study, we aim to learn highly descriptive representations for a wide set of machinery
sounds and exploit this knowledge to perform condition monitoring of mechanical …
sounds and exploit this knowledge to perform condition monitoring of mechanical …
A DCSLBP based intelligent machine malfunction detection model using sound signals for industrial automation systems
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 …
4.0, and main objective of this paper is to contribute Industry 4.0 by using a sound signal …
Active Voice Amplifier: On-Device Noisy Environment-Aware Solution for Dialogue Enhancement in Real Time
J Cho, S Kim, I Hwang - Journal of the Audio Engineering Society, 2023 - aes.org
Since a cathode-ray tube television was introduced first to the consumers in the late 1920s,
a variety of multimedia device form-factors has appeared in the consumer market until now …
a variety of multimedia device form-factors has appeared in the consumer market until now …
Temporal auditory coding features for causal speech enhancement
Perceptually motivated audio signal processing and feature extraction have played a key
role in the determination of high-level semantic processes and the development of emerging …
role in the determination of high-level semantic processes and the development of emerging …
[PDF][PDF] A Large-Scale Benchmark Dataset for Anomaly Detection and Rare Event Classification for Audio Forensics
Z JALIL, N KRYVINSKA, U TARIQ - researchgate.net
With the emergence of new digital technologies, a significant surge has been seen in the
volume of multimedia data generated from various smart devices. Several challenges for …
volume of multimedia data generated from various smart devices. Several challenges for …
[PDF][PDF] Semi-Supervised Machine Condition Monitoring by Learning Deep Discriminative Audio Features. Electronics 2021, 10, 2471
I Thoidis, M Giouvanakis, G Papanikolaou - 2021 - academia.edu
In this study, we aim to learn highly descriptive representations for a wide set of machinery
sounds and exploit this knowledge to perform condition monitoring of mechanical …
sounds and exploit this knowledge to perform condition monitoring of mechanical …