Results 21 to 30 of about 3,234,615 (293)

Anomalous Sound Detection Based on Interpolation Deep Neural Network [PDF]

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
As the labor force decreases, the demand for labor-saving automatic anomalous sound detection technology that conducts maintenance of industrial equipment has grown. Conventional approaches detect anomalies based on the reconstruction errors of an autoencoder.
Kaori Suefusa, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi   +5 more
openaire   +4 more sources

Regularized Contrastive Masked Autoencoder Model for Machinery Anomaly Detection Using Diffusion-Based Data Augmentation

Algorithms, 2023
Unsupervised anomalous sound detection, especially self-supervised methods, plays a crucial role in differentiating unknown abnormal sounds of machines from normal sounds.
Esmaeil Zahedi, Mohamad Saraee, Fatemeh Sadat Masoumi, Mohsen Yazdinejad   +3 more
doaj   +1 more source

Anomalous Sound Detection Using Spectral-Temporal Information Fusion

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Unsupervised anomalous sound detection aims to detect unknown abnormal sounds of machines from normal sounds. However, the state-of-the-art approaches are not always stable and perform dramatically differently even for machines of the same type, making it impractical for general applications.
Youde Liu, Jian Guan 0001, Qiaoxi Zhu, Wenwu Wang 0001   +3 more
openaire   +3 more sources

A Low-Cost AI-Empowered Stethoscope and a Lightweight Model for Detecting Cardiac and Respiratory Diseases from Lung and Heart Auscultation Sounds

Sensors, 2023
Cardiac and respiratory diseases are the primary causes of health problems. If we can automate anomalous heart and lung sound diagnosis, we can improve the early detection of disease and enable the screening of a wider population than possible with ...
Miao Zhang, Min Li, Liang Guo, Jianya Liu   +3 more
doaj   +1 more source

Methods for Noise Event Detection and Assessment of the Sonic Environment by the Harmonica Index

Applied Sciences, 2021
Noise annoyance depends not only on sound energy, but also on other features, such as those in its spectrum (e.g., low frequency and/or tonal components), and, over time, amplitude fluctuations, such as those observed in road, rail, or aircraft noise ...
Rosa Ma Alsina-Pagès, Roberto Benocci, Giovanni Brambilla, Giovanni Zambon   +3 more
doaj   +1 more source

Introduction of a Novel Anomalous Sound Detection Methodology

International Journal on Cybernetics & Informatics, 2022
This paper is to introduce a novel semi-supervised methodology, the enhanced incremental principal component analysis (“IPCA”) based deep convolutional neural network autoencoder (“DCNN-AE) for Anomalous Sound Detection (“ASD”) with high accuracy and computing efficiency.
Xiao Tan, S M Yiu
openaire   +1 more source

A Large-Scale Benchmark Dataset for Anomaly Detection and Rare Event Classification for Audio Forensics

IEEE Access, 2022
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 data analysis have emerged to extract useful information from multimedia data.
Ahmed Abbasi, Abdul Rehman Rehman Javed, Amanullah Yasin, Zunera Jalil, Natalia Kryvinska, Usman Tariq   +5 more
doaj   +1 more source

SSDPT: Self-Supervised Dual-Path Transformer for Anomalous Sound Detection in Machine Condition Monitoring [PDF]

, 2022
Anomalous sound detection for machine condition monitoring has great potential in the development of Industry 4.0. However, these anomalous sounds of machines are usually unavailable in normal conditions.
Ayub, Muhammad Saad, Yan, Qingli, Bai, Jisheng, Wang, Mou, Chen, Jianfeng   +4 more
core   +1 more source

Research on Internal Defects of Self-compacting Concrete Steel Pipe Column by Ultrasonic Detection

Taiyuan Ligong Daxue xuebao, 2023
Purposes This work has been done in order to study the quantitative test of the internal defect and interfacial bond detection of self-compacting concrete steel tube columns has been a hot research topic in the industry. Methods In this paper, ultrasonic
Qiyang WU, Hongxiu DU, Congcong WANG
doaj   +1 more source

Audio Surveillance of Roads: A System for Detecting Anomalous Sounds [PDF]

IEEE Transactions on Intelligent Transportation Systems, 2016
In the last decades, several systems based on video analysis have been proposed for automatically detecting accidents on roads to ensure a quick intervention of emergency teams. However, in some situations, the visual information is not sufficient or sufficiently reliable, whereas the use of microphones and audio event detectors can significantly ...
FOGGIA, PASQUALE, Petkov, Nicolai, SAGGESE, ALESSIA, STRISCIUGLIO, NICOLA, VENTO, Mario   +4 more
openaire   +2 more sources