AIMC Topic: Noise

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Detecting Lombard Speech Using Deep Learning Approach.

Sensors (Basel, Switzerland) Dec 28, 2022
Robust Lombard speech-in-noise detecting is challenging. This study proposes a strategy to detect Lombard speech using a machine learning approach for applications such as public address systems that work in near real time. The paper starts with the ...
Language Deep Learning Speech Noise Speech Perception
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Design and Implementation of Machine Tool Life Inspection System Based on Sound Sensing.

Sensors (Basel, Switzerland) Dec 27, 2022
The main causes of damage to industrial machinery are aging, corrosion, and the wear of parts, which affect the accuracy of machinery and product precision. Identifying problems early and predicting the life cycle of a machine for early maintenance c...
Neural Networks, Computer Learning Speech Noise
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Deep MCANC: A deep learning approach to multi-channel active noise control.

Neural networks : the official journal of the International Neural Network Society Nov 25, 2022
Traditional multi-channel active noise control (MCANC) is based on adaptive filtering and usually uses a separate control unit for each channel. This paper introduces a deep learning based approach for multi-channel active noise control (ANC). The pr...
Deep Learning Noise
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Real-time noise cancellation with deep learning.

PloS one Nov 21, 2022
Biological measurements are often contaminated with large amounts of non-stationary noise which require effective noise reduction techniques. We present a new real-time deep learning algorithm which produces adaptively a signal opposing the noise so ...
Deep Learning Noise Electroencephalography Signal Processing, Computer-Assisted Signal-To-Noise Ratio
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Low SNR Multi-Emitter Signal Sorting and Recognition Method Based on Low-Order Cyclic Statistics CWD Time-Frequency Images and the YOLOv5 Deep Learning Model.

Sensors (Basel, Switzerland) Oct 13, 2022
It is difficult for traditional signal-recognition methods to effectively classify and identify multiple emitter signals in a low SNR environment. This paper proposes a multi-emitter signal-feature-sorting and recognition method based on low-order cy...
Deep Learning Noise Signal-To-Noise Ratio
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Efficient learning representation of noise-reduced foam effects with convolutional denoising networks.

PloS one Oct 10, 2022
This study proposes a neural network framework for modeling the foam effects found in liquid simulation without noise. The position and advection of the foam particles are calculated using the existing screen projection method, and the noise problem ...
Neural Networks, Computer Algorithms Computer Simulation Image Processing, Computer-Assisted Noise Signal-To-Noise Ratio
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Noise-driven bifurcations in a neural field system modelling networks of grid cells.

Journal of mathematical biology Sep 27, 2022
The activity generated by an ensemble of neurons is affected by various noise sources. It is a well-recognised challenge to understand the effects of noise on the stability of such networks. We demonstrate that the patterns of activity generated by n...
Neural Networks, Computer Models, Neurological Noise Neurons
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2D Transformations of Energy Signals for Energy Disaggregation.

Sensors (Basel, Switzerland) Sep 22, 2022
The aim of Non-Intrusive Load Monitoring is to estimate the energy consumption of individual electrical appliances by disaggregating the overall power consumption that has been sampled from a smart meter at a house or commercial/industrial building. ...
Neural Networks, Computer Noise Normal Distribution
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Enhanced Convolutional Neural Network for In Situ AUV Thruster Health Monitoring Using Acoustic Signals.

Sensors (Basel, Switzerland) Sep 19, 2022
As the demand for ocean exploration increases, studies are being actively conducted on autonomous underwater vehicles (AUVs) that can efficiently perform various missions. To successfully perform long-term, wide-ranging missions, it is necessary to a...
Neural Networks, Computer Noise Acoustics Wavelet Analysis
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Boundary-Preserved Deep Denoising of Stochastic Resonance Enhanced Multiphoton Images.

IEEE journal of translational engineering in health and medicine Sep 14, 2022
OBJECTIVE: With the rapid growth of high-speed deep-tissue imaging in biomedical research, there is an urgent need to develop a robust and effective denoising method to retain morphological features for further texture analysis and segmentation. Conv...
Neural Networks, Computer Noise Signal-To-Noise Ratio
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