Results 161 to 170 of about 132,794 (332)

Sustainable Live Sound Monitoring and Classification System Enabled by a Triboelectric Nanogenerator and Machine Learning Techniques

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A high‐performance Triboelectric Nanogenerator (TENG) acoustic sensor using polyimine/graphite polypropylene (PI/GP) was developed for real‐time, sustainable sound monitoring and classification. The self‐powered device delivers 25.67 μW output power, 92.7% accuracy with MobileNet V1, and powers a wireless transmission circuit, demonstrating dual ...
Majid Haji Bagheri   +8 more
wiley   +1 more source

Acoustics of Speech Production [PDF]

open access: yesThe Journal of the Acoustical Society of America, 2019
openaire   +1 more source

The role of cardiac acoustic biomarkers in monitoring patients with heart failure: A systematic literature review

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 980-997, April 2025.
Abstract Heart failure (HF) creates a considerable clinical, humanistic and economic burden on patients and caregivers as well as on healthcare systems. To attenuate the significant burden of HF, there is a need for enhanced management of patients with HF.
Javed Butler   +8 more
wiley   +1 more source

Effects of a Concurrent Working Memory Task on Speech Acoustics in Parkinson's Disease

open access: green, 2023
Daria A. Dragicevic   +4 more
openalex   +2 more sources

Febrile status epilepticus and epileptogenesis: The FEBSTAT study

open access: yesEpilepsia Open, EarlyView.
Abstract The multicenter FEBSTAT study (Consequences of Prolonged Febrile Seizures in Childhood: https://grantome.com/grant/NIH/R37‐NS043209‐12; PI S. Shinnar) examined the outcome of febrile status epilepticus (FSE) in over 200 prospectively enrolled infants, with many followed for 10 years after FSE.
Darrell V. Lewis   +14 more
wiley   +1 more source

Techniques in Speech Acoustics

open access: yesComputational Linguistics, 2000
Jonathan Harrington, Steve Cassidy
openaire   +1 more source

Affective Dimensions in Maternal Voice During Child Feeding in Mothers With and Without Eating Disorder History—Findings From a Machine Learning Analysis of Speech Data

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Objective Eating disorder (ED) history may impact mother‐child communication during mealtimes and contribute to transgenerational transmission of ED. This study employed machine learning (ML) to identify speech characteristics during mother‐child feeding interactions, aiming for investigating whether vocalised affective characteristics differ ...
Jana Katharina Throm   +7 more
wiley   +1 more source

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