AIMC Topic: Noise

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Sensor Fault Detection and Diagnosis Method for AHU Using 1-D CNN and Clustering Analysis.

Computational intelligence and neuroscience Sep 26, 2019
This paper presents a fault detection and diagnosis (FDD) method, which uses one-dimensional convolutional neural network (1-D CNN) and WaveCluster clustering analysis to detect and diagnose sensor faults in the supply air temperature ( ) control loo...
Noise Neural Networks, Computer Humans Algorithms Diagnostic Errors Cluster Analysis
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Predicting cochlear dead regions in patients with hearing loss through a machine learning-based approach: A preliminary study.

PloS one Jun 3, 2019
We propose a machine learning (ML)-based model for predicting cochlear dead regions (DRs) in patients with hearing loss of various etiologies. Five hundred and fifty-five ears from 380 patients (3,770 test samples) diagnosed with sensorineural hearin...
Logistic Models Humans Auditory Threshold Machine Learning Cochlea Noise Algorithms Multivariate Analysis Adult Female Hearing Loss Male Aged Middle Aged Aged, 80 and over Young Adult
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Analysis of noise pollution emitted by stationary MF285 tractor using different mixtures of biodiesel, bioethanol, and diesel through artificial intelligence.

Environmental science and pollution research international May 26, 2019
In the present study, the noise pollution from different compositions of biodiesel, bioethanol, and diesel fuels in a four-cylinder and four-stroke engine of MF285 tractor was studied. Further, the noise pollution was measured from two positions, the...
Noise Artificial Intelligence Biofuels Environmental Monitoring Gasoline Noise, Transportation
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Threshold-Based Noise Detection and Reduction for Automatic Speech Recognition System in Human-Robot Interactions.

Sensors (Basel, Switzerland) Jun 28, 2018
This work develops a speech recognition system that uses two procedures of proposed noise detection and combined noise reduction. The system can be used in applications that require interactive robots to recognize the contents of speech that includes...
Robotics Noise Speech Recognition Software Signal-To-Noise Ratio Humans Speech Bionics Cybernetics
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Single-ended prediction of listening effort using deep neural networks.

Hearing research Dec 27, 2017
The effort required to listen to and understand noisy speech is an important factor in the evaluation of noise reduction schemes. This paper introduces a model for Listening Effort prediction from Acoustic Parameters (LEAP). The model is based on met...
Perceptual Masking Hearing Disorders Persons with Hearing Disabilities Speech Perception Audiometry, Speech Case-Control Studies Deep Learning Noise Attention Acoustic Stimulation Auditory Pathways Hearing Models, Psychological Young Adult Adult Male Middle Aged Humans Female Aged
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Manifold optimization-based analysis dictionary learning with an ℓ-norm regularizer.

Neural networks : the official journal of the International Neural Network Society Dec 6, 2017
Recently there has been increasing attention towards analysis dictionary learning. In analysis dictionary learning, it is an open problem to obtain the strong sparsity-promoting solutions efficiently while simultaneously avoiding the trivial solution...
Machine Learning Algorithms Image Processing, Computer-Assisted Noise
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Stochastic spike synchronization in a small-world neural network with spike-timing-dependent plasticity.

Neural networks : the official journal of the International Neural Network Society Oct 12, 2017
We consider the Watts-Strogatz small-world network (SWN) consisting of subthreshold neurons which exhibit noise-induced spikings. This neuronal network has adaptive dynamic synaptic strengths governed by the spike-timing-dependent plasticity (STDP). ...
Neuronal Plasticity Models, Neurological Neural Networks, Computer Synapses Feedback Noise Stochastic Processes Neurons Electrophysiological Phenomena Long-Term Potentiation
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Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users.

Hearing research Nov 30, 2016
Speech understanding in noisy environments is still one of the major challenges for cochlear implant (CI) users in everyday life. We evaluated a speech enhancement algorithm based on neural networks (NNSE) for improving speech intelligibility in nois...
Prosthesis Design Acoustics Sound Spectrography Comprehension Acoustic Stimulation Audiometry, Speech Cochlear Implantation Perceptual Masking Adult Cochlear Implants Electric Stimulation Middle Aged Aged Persons with Hearing Disabilities Humans Speech Intelligibility Noise Speech Perception Aged, 80 and over Signal Processing, Computer-Assisted Neural Networks, Computer Young Adult Algorithms
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Preschoolers Flexibly Adapt to Linguistic Input in a Noisy Channel.

Psychological science Nov 12, 2016
Because linguistic communication is inherently noisy and uncertain, adult language comprehenders integrate bottom-up cues from speech perception with top-down expectations about what speakers are likely to say. Further, in line with the predictions o...
Cognition Natural Language Processing Noise Cues Humans Psycholinguistics Learning Comprehension Female Male Speech Perception Reproducibility of Results Child, Preschool Environment Communication Child Linguistics
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From "ear" to there: a review of biorobotic models of auditory processing in lizards.

Biological cybernetics Oct 7, 2016
The peripheral auditory system of lizards has been extensively studied, because of its remarkable directionality. In this paper, we review the research that has been performed on this system using a biorobotic approach. The various robotic implementa...
Ear Lizards Machine Learning Noise Animals Models, Biological Robotics Hearing Sound Localization
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