AIMC Topic: Sound

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Evaluating the Performance of Pre-Trained Convolutional Neural Network for Audio Classification on Embedded Systems for Anomaly Detection in Smart Cities.

Sensors (Basel, Switzerland) Jul 7, 2023
Environmental Sound Recognition (ESR) plays a crucial role in smart cities by accurately categorizing audio using well-trained Machine Learning (ML) classifiers. This application is particularly valuable for cities that analyzed environmental sounds ...
Neural Networks, Computer Machine Learning Cities Sound
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High-Level CNN and Machine Learning Methods for Speaker Recognition.

Sensors (Basel, Switzerland) Mar 25, 2023
Speaker Recognition (SR) is a common task in AI-based sound analysis, involving structurally different methodologies such as Deep Learning or "traditional" Machine Learning (ML). In this paper, we compared and explored the two methodologies on the DE...
Machine Learning Bayes Theorem Acoustics Sound
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Small-scale location identification in natural environments with deep learning based on biomimetic sonar echoes.

Bioinspiration & biomimetics Feb 13, 2023
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...
Animals Deep Learning Sound Biomimetics Sensation Chiroptera Echolocation
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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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