Results 171 to 180 of about 7,706,916 (368)
Attentive Training: A New Training Framework for Speech Enhancement. [PDF]
IEEE/ACM Trans Audio Speech Lang Process, 2023 Pandey A, Wang D.
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Speech enhancement in transform domain [PDF]
, 2019 This thesis focuses on the development of speech enhancement algorithms in the transform domain. The motivation and objectives of the work are first stated and various effects of noise on speech are discussed. A literature review of various speech enhancement algorithms with an emphasis on those implemented in the transform domain is presented. Some of
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Ofatumumab, a fully human anti‐CD20 monoclonal antibody, is effective in reducing relapses and disability progression in patients with multiple sclerosis. This study aimed to examine immune profile changes associated with ofatumumab in a prospective cohort of Chinese patients with relapsing–remitting multiple ...
Shu Yang +9 more
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End‐to‐end speech‐denoising deep neural network based on residual‐attention gated linear units
Electronics LettersIn this letter, an improved gated linear unit (GLU) structure for end‐to‐end (E2E) speech enhancement is proposed. In the U‐Net structure, which is widely used as the foundational architecture for E2E deep neural network‐based speech denoising, the input
Seon Man Kim
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT This study assessed whether continued treatment with anti‐CGRP monoclonal antibodies (mAbs) is driven more by reductions in monthly migraine days (MMDs) or patients' global impression of change (PGIC), a patient‐reported outcome. Among 169 patients treated with anti‐CGRP mAbs, 21.3% discontinued due to ineffectiveness. PGIC responders (≥ 5) at
Marina Romozzi +4 more
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End-to-end speech enhancement based on ultra-lightweight channel attention
智能科学与技术学报, 2021 The full convolutional time-domain audio separation network (Conv-TasNet) is a state-of-the-art end-to-end speech separation model which was proposed recently.The Conv-TasNet used dilated convolution to expand the receptive field and fuse more speech ...
Yi HONG, Chengli SUN, Yan LENG
doaj
A Novel Uncertainty Parameter SR (Signal To Residual Spectrum Ratio) Evaluation Approach For Speech Enhancement [PDF]
arXiv, 2014 Usually, hearing impaired people use hearing aids which are implemented with speech enhancement algorithms. Estimation of speech and estimation of nose are the components in single channel speech enhancement system. The main objective of any speech enhancement algorithm is estimation of noise power spectrum for non stationary environment.
arxiv
A Survey on Low-Latency DNN-Based Speech Enhancement. [PDF]
Sensors (Basel), 2023 Drgas S.
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Speech enhancement using a mixture-maximum model [PDF]
, 2002 David Burshtein, Sharon Gannot
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KIF5A p.Pro986Leu Risk Variant and Accelerated Progression of Amyotrophic Lateral Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT This study explored the impact of KIF5A rs113247976 (p.Pro986Leu), a risk allele for amyotrophic lateral sclerosis (ALS), on phenotypic variability in two Italian ALS cohorts (discovery, n = 865; replication, n = 1174). The minor allele (T) frequency was 0.015.
Arianna Manini +24 more
wiley +1 more source