Results 161 to 170 of about 19,125,289 (344)

End-to-end Audiovisual Speech Activity Detection with Bimodal Recurrent Neural Models

open access: yes, 2018
Speech activity detection (SAD) plays an important role in current speech processing systems, including automatic speech recognition (ASR). SAD is particularly difficult in environments with acoustic noise.
Busso, Carlos, Tao, Fei
core  

Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Familial dysautonomia (FD) is a hereditary neurodevelopmental disorder caused by aberrant splicing of the ELP1 gene, leading to a tissue‐specific reduction in ELP1 protein expression. Preclinical models indicate that increasing ELP1 levels can mitigate disease manifestations.
Alejandra González‐Duarte   +13 more
wiley   +1 more source

A dataset of synthetic art dialogues with ChatGPT

open access: yesScientific Data
This paper introduces Art_GenEvalGPT, a novel dataset of synthetic dialogues centered on art generated through ChatGPT. Unlike existing datasets focused on conventional art-related tasks, Art_GenEvalGPT delves into nuanced conversations about art ...
Manuel Gil-Martín   +5 more
doaj   +1 more source

Electrophysiological Examination of Ambient Speech Processing in Children With Cochlear Implants. [PDF]

open access: yesJ Speech Lang Hear Res, 2022
Corina DP   +7 more
europepmc   +1 more source

Sex differences in early sensorimotor processing for speech discrimination [PDF]

open access: gold, 2019
David Thornton   +3 more
openalex   +1 more source

PSYCHODIAGNOSIS OF THE CHILD’S SPEECH GIFTEDNESS THROUGH GOAL-SETTING PROCESSES OF SPEAKING AND AUDITING

open access: diamond, 2021
Larysa Каlmykova   +2 more
openalex   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

The Neuroanatomy of Speech Processing: A Large-scale Lesion Study. [PDF]

open access: yesJ Cogn Neurosci, 2022
Rogalsky C   +11 more
europepmc   +1 more source

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