AIMC Topic: Sound

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Polyphonic Sound Event Detection Using Temporal-Frequency Attention and Feature Space Attention.

Sensors (Basel, Switzerland)
The complexity of polyphonic sounds imposes numerous challenges on their classification. Especially in real life, polyphonic sound events have discontinuity and unstable time-frequency variations. Traditional single acoustic features cannot character...

A deep learning approach for detecting drill bit failures from a small sound dataset.

Scientific reports
Monitoring the conditions of machines is vital in the manufacturing industry. Early detection of faulty components in machines for stopping and repairing the failed components can minimize the downtime of the machine. In this article, we present a me...

Sunken oil detection and classification using MBES backscatter data.

Marine pollution bulletin
Sunken oil incidents have occurred multiple times in the Bohai Sea over the past ten years. Currently, quick and effective sunken oil detection and classification remains a difficult problem. In this study, sonar detection experiments are conducted t...

Few-Shot Emergency Siren Detection.

Sensors (Basel, Switzerland)
It is a well-established practice to build a robust system for sound event detection by training supervised deep learning models on large datasets, but audio data collection and labeling are often challenging and require large amounts of effort. This...

A Fault Diagnosis System for a Pipeline Robot Based on Sound Signal Recognition.

Sensors (Basel, Switzerland)
Timely and accurate identification of fault types at the early stage of minor faults is significant for cutting off fault evolution. In order to have a clear understanding of the pipeline robot's own situation in the pipeline, this paper proposes a f...

Fast environmental sound classification based on resource adaptive convolutional neural network.

Scientific reports
Recently, with the construction of smart city, the research on environmental sound classification (ESC) has attracted the attention of academia and industry. The development of convolutional neural network (CNN) makes the accuracy of ESC reach a high...

Real-Time Sonar Fusion for Layered Navigation Controller.

Sensors (Basel, Switzerland)
Navigation in varied and dynamic indoor environments remains a complex task for autonomous mobile platforms. Especially when conditions worsen, typical sensor modalities may fail to operate optimally and subsequently provide inapt input for safe navi...

Medical image segmentation model based on triple gate MultiLayer perceptron.

Scientific reports
To alleviate the social contradiction between limited medical resources and increasing medical needs, the medical image-assisted diagnosis based on deep learning has become the research focus in Wise Information Technology of med. Most of the existin...

Deep Prior Approach for Room Impulse Response Reconstruction.

Sensors (Basel, Switzerland)
In this paper, we propose a data-driven approach for the reconstruction of unknown room impulse responses (RIRs) based on the deep prior paradigm. We formulate RIR reconstruction as an inverse problem. More specifically, a convolutional neural networ...

A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance.

Sensors (Basel, Switzerland)
This paper presents a comprehensive overview of current deep-learning methods for automatic object classification of underwater sonar data for shoreline surveillance, concentrating mostly on the classification of vessels from passive sonar data and t...