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Sound

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Passive tracking of underwater acoustic targets based on multi-beam LOFAR and deep learning.

PloS one
Conventional passive tracking methods for underwater acoustic targets in sonar engineering generate time azimuth histogram and use it as a basis for target azimuth and tracking. Passive underwater acoustic targets only have azimuth information on the...

Non-intrusive deep learning-based computational speech metrics with high-accuracy across a wide range of acoustic scenes.

PloS one
Speech with high sound quality and little noise is central to many of our communication tools, including calls, video conferencing and hearing aids. While human ratings provide the best measure of sound quality, they are costly and time-intensive to ...

Deblurring of Sound Source Orientation Recognition Based on Deep Neural Network.

Sensors (Basel, Switzerland)
Underwater target detection and identification technology are currently two of the most important research directions in the information disciplines. Traditionally, underwater target detection technology has struggled to meet the needs of current eng...

Measurements, Analysis, Classification, and Detection of Gunshot and Gunshot-like Sounds.

Sensors (Basel, Switzerland)
Gun violence has been on the rise in recent years. To help curb the downward spiral of this negative influence in communities, machine learning strategies on gunshot detection can be developed and deployed. After outlining the procedure by which a ty...

Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar Images.

Sensors (Basel, Switzerland)
Forward-looking sonar is a technique widely used for underwater detection. However, most sonar images have underwater noise and low resolution due to their acoustic properties. In recent years, the semantic segmentation model U-Net has shown excellen...

The Tacotron-Based Signal Synthesis Method for Active Sonar.

Sensors (Basel, Switzerland)
The importance of active sonar is increasing due to the quieting of submarines and the increase in maritime traffic. However, the multipath propagation of sound waves and the low signal-to-noise ratio due to multiple clutter make it difficult to dete...

Considerations and Challenges for Real-World Deployment of an Acoustic-Based COVID-19 Screening System.

Sensors (Basel, Switzerland)
Coronavirus disease 2019 (COVID-19) has led to countless deaths and widespread global disruptions. Acoustic-based artificial intelligence (AI) tools could provide a simple, scalable, and prompt method to screen for COVID-19 using easily acquirable ph...

Acoustic Emission and Artificial Intelligence Procedure for Crack Source Localization.

Sensors (Basel, Switzerland)
The acoustic emission (AE) technique is one of the most widely used in the field of structural monitoring. Its popularity mainly stems from the fact that it belongs to the category of non-destructive techniques (NDT) and allows the passive monitoring...

Small-scale location identification in natural environments with deep learning based on biomimetic sonar echoes.

Bioinspiration & biomimetics
Many bat species navigate in complex, heavily vegetated habitats. To achieve this, the animal relies on a sensory basis that is very different from what is typically done in engineered systems that are designed for outdoor navigation. Whereas the eng...

Biodiversity assessment using passive acoustic recordings from off-reef location-Unsupervised learning to classify fish vocalization.

The Journal of the Acoustical Society of America
We present the quantitative characterization of Grande Island's off-reef acoustic environment within the Zuari estuary during the pre-monsoon period. Passive acoustic recordings reveal prominent fish choruses. Detailed characteristics of the call emp...