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The UWI's Prof Marvin Reid awarded Fellowship Designation by the World College of Family Physicians

ST ANDREW, Jamaica - University of the West Indies, Mona (UWI) Professor Marvin Reid, has been awarded the Fellowship Designation by the World Organization of Family Doctors (WONCA), at the WONCA Worl.

United-states
Australia
University-of-the-west-indies
Saint-andrew
Jamaica
Sydney
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American
Marvin-reid
Densil-williams
Ardenne-high-school
World-organization-of-family-doctors

UWI professor awarded fellowship designation by world college of family physicians

Professor Marvin Reid was recently awarded the fellowship designation by the World Organization of Family Doctors (WONCA), at the WONCA World Congress and Conference in Sydney, Australia. In a release, The University of the West Indies (UWI) said.

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University-of-the-west-indies
Saint-andrew
Jamaica
Australia
Sydney
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Densil-williams
Marvin-reid
Ardenne-high-school
World-organization-of-family-doctors

College of Education and Human Development hosts Mathematics Education Conference

College of Education and Human Development hosts Mathematics Education Conference
unr.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from unr.edu Daily Mail and Mail on Sunday newspapers.

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Nevada
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University-of-nevada
California
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Donald-easton
Teruni-lamberg
Diana-moss
Lynda-wiest
Glenn-waddell-jr
College-of-education-human-development

Deep dive into a four-track WiE session in Maastricht

A high-performance neuroprosthesis for speech decoding and avatar control

Speech neuroprostheses have the potential to restore communication to people living with paralysis, but naturalistic speed and expressivity are elusive1. Here we use high-density surface recordings of the speech cortex in a clinical-trial participant with severe limb and vocal paralysis to achieve high-performance real-time decoding across three complementary speech-related output modalities: text, speech audio and facial-avatar animation. We trained and evaluated deep-learning models using neural data collected as the participant attempted to silently speak sentences. For text, we demonstrate accurate and rapid large-vocabulary decoding with a median rate of 78 words per minute and median word error rate of 25%. For speech audio, we demonstrate intelligible and rapid speech synthesis and personalization to the participant’s pre-injury voice. For facial-avatar animation, we demonstrate the control of virtual orofacial movements for speech and non-speech communic

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Turkey
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Paulh-brookes
Jd-organization
International-conference-on-learning-representations
Pacific-rim-conference-on-communications-computers
International-conference-on-machine
Virtual-user-forum
Curran-associates

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