Speech disorder

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Related publications (30)

Electrical spinal cord stimulation protocols to regulate motor and autonomic functions in people with neurological disorders

Robin Jonathan Demesmaeker

Neurological disorders such as spinal cord injury (SCI) massively reduce independence and quality of life. Most often, the majority of the nervous system is still fully or partially spared, but dysfunctional due to aberrant or absent descending input from ...

EPFL2021

Novel Methods for Incorporating Prior Knowledge for Automatic Speech Assessment

Subrahmanya Pavankumar Dubagunta

Speech signal conveys several kinds of information such as a message, speaker identity, emotional state of the speaker and social state of the speaker. Automatic speech assessment is a broad area that refers to using automatic methods to predict human judg ...

EPFL2021

Development of a peripheral neuroprosthesis to elicit fine hand movements in primates

Marion Aimée Geneviève Badi-Dubois

Neurological disorders such as spinal cord lesion and stroke disturb sensorimotor pathways and result in severe motor deficits that can dreadfully impact the quality of life of affected individuals. Strategies aiming at restoring hand function after upper- ...

EPFL2021

Thalamic microcircuitry: neurons, synapses, and circuit motifs in receptive field structure and sensory processing

Jane Yi

Our perception of the world is first shaped by the thalamus, a structure composed of many nuclei in the center of our brains. Different nuclei hold different responsibilities - vision (dorsal lateral genicular nucleus; dLGN), audition (medial geniculate nu ...

EPFL2021

Utterance Verification-Based Dysarthric Speech Intelligibility Assessment Using Phonetic Posterior Features

Mathew Magimai Doss, Julian David Fritsch

In the literature, the task of dysarthric speech intelligibility assessment has been approached through development of different low-level feature representations, subspace modeling, phone confidence estimation or measurement of automatic speech recognitio ...

IEEE Institute of Electrical and Electronics Engineers2021

Non-Intrusive Speech Quality Assessment with Transfer Learning and Subject-specific Scaling

Paolo Prandoni, Natalia Nessler, Milos Cernak

In communication systems, it is crucial to estimate the perceived quality of audio and speech. The industrial standards for many years have been PESQ, 3QUEST, and POLQA, which are intrusive methods. This restricts the possibilities of using these metrics i ...

ISCA-INT SPEECH COMMUNICATION ASSOC2021

Lactate enhancing compounds and uses thereof

Pierre Magistretti, Sylvain Eric Lengacher, Charles Léonard Finsterwald

Abstract of the invention: The present invention relates to new agents useful for stimulating release of lactate by astrocytes. The invention further relates to methods of preparation, formulations and therapeutic uses of those agents, notably for the prev ...

2020

Advanced Neurotechnologies for the Restoration of Motor Function

Silvestro Micera, Friedhelm Christoph Hummel

Stroke is one of the leading causes of long-term disability. Advanced technological solutions ("neurotechnologies'') exploiting robotic systems and electrodes that stimulate the nervous system can increase the efficacy of stroke rehabilitation. Recent stud ...

2020

On the cortical connectivity in the macaque brain: A comparison of diffusion tractography and histological tracing data

Jean-Philippe Thiran, Gabriel Girard, Maxime Descoteaux, Giorgio Innocenti, Tim Bjørn Dyrby

Diffusion-weighted magnetic resonance imaging (DW-MRI) tractography is a non-invasive tool to probe neural connections and the structure of the white matter. It has been applied successfully in studies of neurological disorders and normal connectivity. Rec ...

2020

Closed-Loop Neural Interfaces with Embedded Machine Learning

Mahsa Shoaran, Uisub Shin, Bingzhao Zhu

Neural interfaces capable of multi-site electrical recording, on-site signal classification, and closed-loop therapy are critical for the diagnosis and treatment of neurological disorders. However, deploying machine learning algorithms on low-power neural ...

IEEE2020

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