A survey of mechanical fault diagnosis based on audio signal analysis
Mechanical fault diagnosis is one of the important technologies in the fourth industrial
revolution. In recent years, mechanical fault diagnosis based on audio signal analysis …
revolution. In recent years, mechanical fault diagnosis based on audio signal analysis …
The emergence of economic rationality of GPT
As large language models (LLMs) like GPT become increasingly prevalent, it is essential
that we assess their capabilities beyond language processing. This paper examines the …
that we assess their capabilities beyond language processing. This paper examines the …
Acoustic-based machine condition monitoring—methods and challenges
The traditional means of monitoring the health of industrial systems involves the use of
vibration and performance monitoring techniques amongst others. In these approaches …
vibration and performance monitoring techniques amongst others. In these approaches …
The internet of sounds: Convergent trends, insights, and future directions
Current sound-based practices and systems developed in both academia and industry point
to convergent research trends that bring together the field of sound and music Computing …
to convergent research trends that bring together the field of sound and music Computing …
MIMII DUE: Sound dataset for malfunctioning industrial machine investigation and inspection with domain shifts due to changes in operational and environmental …
In this paper, we introduce MIMII DUE, a new dataset for malfunctioning industrial machine
investigation and inspection with domain shifts due to changes in operational and …
investigation and inspection with domain shifts due to changes in operational and …
[PDF][PDF] Ensemble Of Complementary Anomaly Detectors Under Domain Shifted Conditions.
We present our submission to the DCASE2021 Challenge Task 2, which aims to promote
research in anomalous sound detection. We found that blending the predictions of various …
research in anomalous sound detection. We found that blending the predictions of various …
ARAUS: A large-scale dataset and baseline models of affective responses to augmented urban soundscapes
Choosing optimal maskers for existing soundscapes to effect a desired perceptual change
via soundscape augmentation is non-trivial due to extensive varieties of maskers and a …
via soundscape augmentation is non-trivial due to extensive varieties of maskers and a …
[PDF][PDF] Anomalous sound detection using cnn-based features by self supervised learning
K Morita, T Yano, K Tran - Tech. Rep., Challenge on Detection …, 2021 - dcase.community
We propose a detection method for the anomalous sound detection task of DCASE2021
task2 in this report. This is the task of anomalous sound detection for machine condition …
task2 in this report. This is the task of anomalous sound detection for machine condition …
Computer audition: From task-specific machine learning to foundation models
Foundation models (FMs) are increasingly spearheading recent advances on a variety of
tasks that fall under the purview of computer audition--the use of machines to understand …
tasks that fall under the purview of computer audition--the use of machines to understand …
Self-supervised representation learning for unsupervised anomalous sound detection under domain shift
H Chen, Y Song, LR Dai… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
In this paper, a self-supervised representation learning method is proposed for anomalous
sound detection (ASD). ASD has received much research attention in recent DCASE …
sound detection (ASD). ASD has received much research attention in recent DCASE …