Results 131 to 140 of about 7,706,916 (368)
FEBS Open Bio, EarlyView.This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source
Speech Enhancement In Multiple-Noise Conditions using Deep Neural Networks [PDF]
arXiv, 2016 In this paper we consider the problem of speech enhancement in real-world like conditions where multiple noises can simultaneously corrupt speech. Most of the current literature on speech enhancement focus primarily on presence of single noise in corrupted speech which is far from real-world environments.
arxiv
Adversarial Privacy Protection on Speech Enhancement [PDF]
arXiv, 2022 Speech is easily leaked imperceptibly, such as being recorded by mobile phones in different situations. Private content in speech may be maliciously extracted through speech enhancement technology. Speech enhancement technology has developed rapidly along with deep neural networks (DNNs), but adversarial examples can cause DNNs to fail.
arxiv
FEBS Open Bio, EarlyView.ICP34.5 is one of the most important antihost response proteins. The saRNA‐encoding HSV‐1 neurovirulence protein ICP34.5 clearly mediated the eukaryotic initiation factor 2 alpha subunit (eIF2α) dephosphorylation and significant suppression of innate immune responses in vitro, leading to enhanced expression of the saRNA‐encoded gene.
Xuemin Lu +6 more
wiley +1 more source
Phase-Aware Single-Channel Speech Enhancement with Modulation-Domain Kalman Filtering [PDF]
arXiv, 2017 We present a single-channel phase-sensitive speech enhancement algorithm that is based on modulation-domain Kalman filtering and on tracking the speech phase using circular statistics. With Kalman filtering, using that speech and noise are additive in the complex STFT domain, the algorithm tracks the speech log-spectrum, the noise log-spectrum and the ...
arxiv
Journal of Applied Clinical Medical Physics, EarlyView.Abstract This study aimed to evaluate the dose‐exposure reduction effect of a crystalline lens with a bismuth eye shield using cone‐beam computed tomography (CBCT) for head image‐guided radiation therapy. The ocular surface dose of the head phantom (THRA‐1) is defined as a crystalline lens exposure dose and is measured using a radiophotoluminescence ...
Tatsuya Yoshida +5 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose/objectives Recent technological advancements have increased efficiency for clinical deliverability of online‐adaptive‐radiotherapy (oART). Previous cone‐beam‐computed‐tomography (CBCT) generations lacked the ability to provide reliable Hounsfield‐units (HU), thus requiring oART workflows to rely on synthetic‐CT (sCT) images derived ...
Jingwei Duan +7 more
wiley +1 more source
PERFORMANCE ANALYSIS OF SPEECH SIGNAL ENHANCEMENT TECHNIQUES FOR NOISY TAMIL SPEECH RECOGNITION [PDF]
Journal of Engineering Science and Technology, 2017 Speech signal enhancement techniques have reached a considerable research attention because of its significant need in several signal processing applications.
VIMALA C., RADHA V.
doaj
Speech Enhancement Modeling Towards Robust Speech Recognition System [PDF]
arXiv, 2013 Form about four decades human beings have been dreaming of an intelligent machine which can master the natural speech. In its simplest form, this machine should consist of two subsystems, namely automatic speech recognition (ASR) and speech understanding (SU).
arxiv