Results 71 to 80 of about 7,706,916 (368)
Clinical utility of cerebrospinal fluid biomarkers measured by LUMIPULSE® system
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1898-1909, December 2022., 2022 Abstract Objectives Cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) are well‐established in research settings, but their use in routine clinical practice remains a largely unexploited potential. Here, we examined the relationship between CSF biomarkers, measured by a fully automated immunoassay platform, and brain β‐amyloid (Aβ ...
Hisashi Nojima +9 more
wiley +1 more source
Disentangled Feature Learning for Noise-Invariant Speech Enhancement
Applied Sciences, 2019 Most of the recently proposed deep learning-based speech enhancement techniques have focused on designing the neural network architectures as a black box.
Soo Hyun Bae, Inkyu Choi, Nam Soo Kim
doaj +1 more source
Clinical heterogeneity in a family with flail arm syndrome and review of hnRNPA1‐related spectrum
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1910-1917, December 2022., 2022 Abstract Objective Flail arm syndrome (FAS) is one of the atypical subtypes of amyotrophic lateral sclerosis (ALS). Mutations in hnRNPA1 encoding heterogeneous nuclear ribonucleoprotein (hnRNP) A1 are a rare genetic cause of ALS. Herein, marked clinical heterogeneity of FAS in a pedigree with a known hnRNPA1 variant was described to raise early ...
Xiaochen Han +5 more
wiley +1 more source
Deep Neural Networks for Speech Enhancement in Complex-Noisy Environments
International Journal of Interactive Multimedia and Artificial Intelligence, 2020 In this paper, we considered the problem of the speech enhancement similar to the real-world environments where several complex noise sources simultaneously degrade the quality and intelligibility of a target speech. The existing literature on the speech
Nasir Saleem, Muhammad Irfan Khattak
doaj +1 more source
Rehaussement du signal de parole par EMD et opérateur de Teager-Kaiser [PDF]
, 2014 The authors would like to thank Professor Mohamed Bahoura from Universite de Quebec a Rimouski for fruitful discussions on time adaptive thresholdingIn this paper a speech denoising strategy based on time adaptive thresholding of intrinsic modes ...
BOUDRAA, Abdel-Ouahab +2 more
core +4 more sources
Phoneme adjustment in enhanced speech [PDF]
Proceedings of the IEEE National Aerospace and Electronics Conference, 2003 A system has been developed to enhance the quality and intelligibility of noisy, mutilated speech. The system processes speech in the frequency domain using a 512-point DFT (discrete Fourier transform). The amplitude spectrum of voiced regions of speech is smoothed in order to reduce the effects of noise.
Bashir, N. A. +2 more
openaire +3 more sources
Personalized speech enhancement: new models and Comprehensive evaluation [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 Personalized speech enhancement (PSE) models utilize additional cues, such as speaker embeddings like d-vectors, to remove background noise and interfering speech in real-time and thus improve the speech quality of online video conferencing systems for ...
S. Eskimez +5 more
semanticscholar +1 more source
FPGA Implementation of Spectral Subtraction for In-Car Speech Enhancement and Recognition [PDF]
, 2008 The use of speech recognition in noisy environments requires the use of speech enhancement algorithms in order to improve recognition performance. Deploying these enhancement techniques requires significant engineering to ensure algorithms are realisable
Deo, Kapeel +3 more
core +2 more sources
Interactive Speech and Noise Modeling for Speech Enhancement
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Speech enhancement is challenging because of the diversity of background noise types. Most of the existing methods are focused on modelling the speech rather than the noise. In this paper, we propose a novel idea to model speech and noise simultaneously in a two-branch convolutional neural network, namely SN-Net.
Zheng, Chengyu +4 more
openaire +2 more sources
Incoherent Discriminative Dictionary Learning for Speech Enhancement
Journal of Telecommunications and Information Technology, 2018 Speech enhancement is one of the many challenging tasks in signal processing, especially in the case of nonstationary speech-like noise. In this paper a new incoherent discriminative dictionary learning algorithm is proposed to model both speech and ...
Dima Shaheen +2 more
doaj +1 more source