SSDPT: Self-supervised dual-path transformer for anomalous sound detection
Anomalous sound detection for machine condition monitoring or structural health monitoring
is essential in the development of Industry 4.0. However, the anomalous sounds of …
is essential in the development of Industry 4.0. However, the anomalous sounds of …
[HTML][HTML] Deep learning-based DOA estimation using CRNN for underwater acoustic arrays
In the marine environment, estimating the direction of arrival (DOA) is challenging because
of the multipath signals and low signal-to-noise ratio (SNR). In this paper, we propose a …
of the multipath signals and low signal-to-noise ratio (SNR). In this paper, we propose a …
Multimodal urban sound tagging with spatiotemporal context
Noise pollution significantly affects our daily life and urban development. Urban sound
tagging (UST) has attracted much attention recently, which aims to analyze and monitor …
tagging (UST) has attracted much attention recently, which aims to analyze and monitor …
STP-MFM: Semi-tensor product-based multi-modal factorized multilinear pooling for information fusion in sentiment analysis
Multi-modal fusion can exploit complementary information from various modalities and
improve the accuracy of prediction or classification tasks. In this paper, we propose a semi …
improve the accuracy of prediction or classification tasks. In this paper, we propose a semi …
Dual-path transformer for machine condition monitoring
Anomalous sound detection (ASD) aims to detect anomaly sounds for earlier warning.
Recently, with the development of machine learning methods for automatically detecting …
Recently, with the development of machine learning methods for automatically detecting …
[PDF][PDF] Data Augmentation Based System for Urban Sound Tagging
In this report, we introduce our system for Task5 of Dcase 2020 challenges (Urban Sound
Tagging with Spatiotemporal Context). We presents a fusion system for Task5 based on …
Tagging with Spatiotemporal Context). We presents a fusion system for Task5 based on …
Detection and System Implementation of Abnormal Audio Events in Urban Environments Based on Convolutional Neural Networks
S Xiao, L Lei - … Conference on Culture-Oriented Science & …, 2024 - ieeexplore.ieee.org
With rapid urbanization, detecting and recognizing abnormal audio events in urban
environments is increasingly critical. This study systematically investigates methods for …
environments is increasingly critical. This study systematically investigates methods for …