AIMC Topic: Noise

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The Effect of Noise on Deep Learning for Classification of Pathological Voice.

The Laryngoscope Jan 27, 2024
OBJECTIVE: This study aimed to evaluate the significance of background noise in machine learning models assessing the GRBAS scale for voice disorders.
Noise Voice Disorders Deep Learning Voice Quality Female Humans Neural Networks, Computer Male Retrospective Studies
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Deep causal speech enhancement and recognition using efficient long-short term memory Recurrent Neural Network.

PloS one Jan 3, 2024
Long short-term memory (LSTM) has been effectively used to represent sequential data in recent years. However, LSTM still struggles with capturing the long-term temporal dependencies. In this paper, we propose an hourglass-shaped LSTM that is able to...
Noise Speech Intelligibility Neural Networks, Computer
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Pediatric evaluations for deep learning CT denoising.

Medical physics Dec 21, 2023
BACKGROUND: Deep learning (DL) CT denoising models have the potential to improve image quality for lower radiation dose exams. These models are generally trained with large quantities of adult patient image data. However, CT, and increasingly DL deno...
Signal-To-Noise Ratio Phantoms, Imaging Radiation Dosage Adolescent Child Image Processing, Computer-Assisted Adult Noise Deep Learning Humans Infant, Newborn Algorithms Tomography, X-Ray Computed
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Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions.

PLoS biology Dec 13, 2023
Models that predict brain responses to stimuli provide one measure of understanding of a sensory system and have many potential applications in science and engineering. Deep artificial neural networks have emerged as the leading such predictive model...
Noise Auditory Cortex Neural Networks, Computer Brain Auditory Perception Hearing
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Speech extraction from vibration signals based on deep learning.

PloS one Oct 25, 2023
Extracting speech information from vibration response signals is a typical system identification problem, and the traditional method is too sensitive to deviations such as model parameters, noise, boundary conditions, and position. A method was propo...
Vibration Speech Deep Learning Noise
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Beyond Correlations: Deep Learning for Seismic Interferometry.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Passive seismic interferometry is a vastly generalized blind deconvolution question, where different paths through the Earth correspond to different channels called Green's functions; the sources are completely incoherent and not shared by the channe...
Neural Networks, Computer Deep Learning Noise Acoustics Interferometry
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Hessian-Aided Random Perturbation (HARP) Using Noisy Zeroth-Order Oracles.

IEEE transactions on neural networks and learning systems Jul 6, 2023
In stochastic optimization problems where only noisy zeroth-order (ZO) oracles are available, the Kiefer-Wolfowitz algorithm and its randomized counterparts are widely used as gradient estimators. Existing algorithms generate the random perturbations...
Noise Neural Networks, Computer Algorithms
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Analysis on the inherent noise tolerance of feedforward network and one noise-resilient structure.

Neural networks : the official journal of the International Neural Network Society Jun 17, 2023
In the past few decades, feedforward neural networks have gained much attraction in their hardware implementations. However, when we realize a neural network in analog circuits, the circuit-based model is sensitive to hardware nonidealities. The noni...
Neurons Normal Distribution Neural Networks, Computer Noise
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A novel time series prediction method based on pooling compressed sensing echo state network and its application in stock market.

Neural networks : the official journal of the International Neural Network Society Apr 25, 2023
In the prediction of time series, the echo state network (ESN) exhibits exclusive strengths and a unique training structure. Based on ESN model, a pooling activation algorithm consisting noise value and adjusted pooling algorithm is proposed to enric...
Neural Networks, Computer Noise Algorithms Time Factors
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Dyspnea Severity Assessment Based on Vocalization Behavior with Deep Learning on the Telephone.

Sensors (Basel, Switzerland) Feb 22, 2023
In this paper, a system to assess dyspnea with the mMRC scale, on the phone, via deep learning, is proposed. The method is based on modeling the spontaneous behavior of subjects while pronouncing controlled phonetization. These vocalizations were des...
Telephone Humans Dyspnea Deep Learning Noise
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