Results 41 to 50 of about 3,785,484 (384)

Acoustic Measures Capture Speech Dysfunction in Spinocerebellar Ataxia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCA) are hereditary cerebellar degenerative disorders with a common feature of dysarthria, involving impaired phonatory and articulatory control of speech, thereby affecting social communication. In this study, we investigated whether acoustic measures could objectively measure speech dysfunction and identify
Zena Fadel, Charlotte Hennessey, Hannah Lee, Pia Parekh, Sheng‐Han Kuo, Ami Kumar   +5 more
wiley   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

Automatic generation of audio content for open learning resources [PDF]

, 2009
This paper describes how digital talking books (DTBs) with embedded functionality for learners can be generated from content structured according to the OU OpenLearn schema.
Brasher, Andrew, McAndrew, Patrick
core   +2 more sources

An Automatic Digital Audio Authentication/Forensics System

IEEE Access, 2017
With the continuous rise in ingenious forgery, a wide range of digital audio authentication applications are emerging as a preventive and detective control in real-world circumstances, such as forged evidence, breach of copyright protection, and ...
Z. Ali, M. Imran, M. Alsulaiman
semanticscholar   +1 more source

Detecting Lombard Speech Using Deep Learning Approach

Sensors, 2022
Robust Lombard speech-in-noise detecting is challenging. This study proposes a strategy to detect Lombard speech using a machine learning approach for applications such as public address systems that work in near real time.
Krzysztof Kąkol, Gražina Korvel, Gintautas Tamulevičius, Bożena Kostek   +3 more
doaj   +1 more source

Steep‐Switching Memory FET for Noise‐Resistant Reservoir Computing System

Advanced Functional Materials, EarlyView.
We demonstrate the steep‐switching memory FET with CuInP2S6/h‐BN/α‐In2Se3 heterostructure for application in noise‐resistant reservoir computing systems. The proposed device achieves steep switching characteristics (SSPGM = 19 mV/dec and SSERS = 23 mV/dec) through stabilization between CuInP2S6 and h‐BN.
Seongkweon Kang, Jaerok Kim, Sang‐Min Lee, Sungpyo Baek, Saeroonter Oh, Yoonmyung Lee, Sungjoo Lee   +6 more
wiley   +1 more source

A Survey on the Detection and Impacts of Deepfakes in Visual, Audio, and Textual Formats

IEEE Access, 2023
In the rapidly evolving digital landscape, the generation of fake visual, audio, and textual content poses a significant threat to the trust of society, political stability, and integrity of information.
Rami Mubarak, Tariq A. A. Alsboui, Omar Alshaikh, Isa Inuwa-Dutse, Saad Khan, Siôn Parkinson   +5 more
semanticscholar   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Decoder of the 48 kbps Audio Coder based on Segmental Sinusoidal Model [PDF]

, 2010
The recent technology of the television is implementation the digital system over transmitter, transmission channel and receiver. Therefore, television system in Indonesia is dominated by analog system, that less flexible for system development and ...
budisetiawan, florentinus
core  

Transfer Learning for Automatic Sleep Staging Using a Pre-Gelled Electrode Grid

Diagnostics
Novel sensor solutions for sleep monitoring at home could alleviate bottlenecks in sleep medical care as well as enable selective or continuous observation over long periods of time and contribute to new insights in sleep medicine and beyond.
Fabian A. Radke, Carlos F. da Silva Souto, Wiebke Pätzold, Karen Insa Wolf   +3 more
doaj   +1 more source