AIMC Topic: Sound

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Acoustic Emission and Artificial Intelligence Procedure for Crack Source Localization.

Sensors (Basel, Switzerland) Jan 7, 2023
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...
Neural Networks, Computer Artificial Intelligence Acoustics Sound Ultrasonics
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The Tacotron-Based Signal Synthesis Method for Active Sonar.

Sensors (Basel, Switzerland) Dec 20, 2022
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...
Artificial Intelligence Models, Theoretical Sound
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Considerations and Challenges for Real-World Deployment of an Acoustic-Based COVID-19 Screening System.

Sensors (Basel, Switzerland) Dec 6, 2022
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...
Humans Artificial Intelligence COVID-19 Acoustics Sound Respiratory Sounds
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Passive tracking of underwater acoustic targets based on multi-beam LOFAR and deep learning.

PloS one Dec 1, 2022
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...
Computer Simulation Deep Learning Acoustics Sound Engineering
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Non-intrusive deep learning-based computational speech metrics with high-accuracy across a wide range of acoustic scenes.

PloS one Nov 28, 2022
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 ...
Humans Deep Learning Speech Benchmarking Acoustics Sound
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Measurements, Analysis, Classification, and Detection of Gunshot and Gunshot-like Sounds.

Sensors (Basel, Switzerland) Nov 25, 2022
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...
Humans Machine Learning Sound
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Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar Images.

Sensors (Basel, Switzerland) Nov 3, 2022
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...
Neural Networks, Computer Image Processing, Computer-Assisted Sound Attention Semantics
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Deblurring of Sound Source Orientation Recognition Based on Deep Neural Network.

Sensors (Basel, Switzerland) Oct 18, 2022
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...
Neural Networks, Computer Signal Processing, Computer-Assisted Sound Signal-To-Noise Ratio
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Empirical Mode Decomposition-Based Feature Extraction for Environmental Sound Classification.

Sensors (Basel, Switzerland) Oct 11, 2022
In environment sound classification, log Mel band energies (MBEs) are considered as the most successful and commonly used features for classification. The underlying algorithm, fast Fourier transform (FFT), is valid under certain restrictions. In thi...
Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Sound Fourier Analysis
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A Two-Mode Underwater Smart Sensor Object for Precision Aquaculture Based on AIoT Technology.

Sensors (Basel, Switzerland) Oct 7, 2022
Monitoring the status of culture fish is an essential task for precision aquaculture using a smart underwater imaging device as a non-intrusive way of sensing to monitor freely swimming fish even in turbid or low-ambient-light waters. This paper deve...
Humans Neural Networks, Computer Artificial Intelligence Technology Animals Aquaculture Sound
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