Short Implicit Voice Training Affects Listening Effort During a Voice Cue Sensitivity Task With Vocoder-Degraded Speech. [PDF]
Ear Hear, 2023 Biçer A, Koelewijn T, Başkent D.
europepmc +1 more source
The voice in the Suzuki Training
, 2022 This article explores the matter of voice in Tadashi Suzuki's training and directing work, establishing relationships between the fundamentals of the Japanese director's practice and Adriana Cavarero's thoughts on the theme. This work is the result of the interaction between the hands-on experience with Suzuki training and the reflection based on ...
Carvalho, Glauce +1 more
openaire +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Advanced Science, EarlyView.Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Advanced Science, EarlyView.Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang +3 more
wiley +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
Advanced Science, EarlyView.This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Voice pathology detection using machine learning algorithms based on different voice databases
Results in EngineeringThe application of machine learning in analyzing voice disorders has become crucial for non-invasive voice pathology detection using voice signals. However, current systems face challenges such as low detection accuracy, limited databases, and evaluation
Nurul Mu'azzah Abdul Latiff +6 more
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Functional Voice Assessment and Therapy Methods Supported by Telepractice, VoiceEvalU8, and Estill Voice Training. [PDF]
Semin Speech Lang, 2021 Grillo EU.
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Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Advanced Science, EarlyView.Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
JMIR Serious GamesBackgroundSerious game–based training modules are pivotal for simulation-based health care training. With advancements in artificial intelligence (AI) and natural language processing, voice command interfaces offer an intuitive ...
Dilek Kitapcioglu +5 more
doaj +1 more source
Efficacy of systematic voice training combined with swallowing function exercises for the prevention of swallowing dysfunction in stroke patients: a retrospective study. [PDF]
Ann Transl Med, 2022 Ren X +5 more
europepmc +1 more source