UKRI Speech and Language Technologies CDT
Company

UKRI Speech and Language Technologies CDT

Research Sheffield, United Kingdom 9 employees
Employees
9

UKRI Speech and Language Technologies CDT Overview

Headquarters
Sheffield, United Kingdom
Website
slt-cdt.ac.uk
Industry
Research
Employees
9
Founded
2019

About UKRI Speech and Language Technologies CDT

The UKRI Centre for Doctoral Training (CDT) in Speech and Language Technologies (SLT) opened in 2019 and will host 60 students on our PhD with Integrated PGDip, over a period of 8 years. Speech and Language Technologies (SLTs) are a range of approaches which allow computer programs or electronic devices to analyse, produce, modify or respond to human texts and speech. SLTs are established as core scientific/engineering disciplines within AI and have grown into a world-wide multi-billion dollar industry. Centres for Doctoral Training (CDTs) bring together diverse areas of expertise to train engineers and scientists with the skills, knowledge and confidence to tackle today’s evolving issues, and future challenges. They also provide a supportive and exciting environment for students, create new working cultures, build relationships between teams in universities and forge lasting links with industry. Students and industry work with a team of over 20 internationally leading SLT researchers, covering all core areas of modern SLT research within the context of a PhD project. These projects are underpinned by a real-world application defined by our industry partners.

UKRI Speech and Language Technologies CDT Contact Details

People in AeroLeads
4

UKRI Speech and Language Technologies CDT Org Chart

Sample employees and titles
Name Title Contact
Fritz Peters Phd Student at the Ukri Centre for Doctoral Training in Speech and Language Technologies - AI in Healthcare - Dementia Diagnosis
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Shaun Rafael Cassini Phd Student in AI for Speech-to-speech Translation
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Thomas Hain
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Tyler Loakman Speech and Language Tech Phd Student - Nlp - Msc Forensic Speech Science - Linguist
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Employees by Management Level

Individual contributor 3 profiles

UKRI Speech and Language Technologies CDT Tech Stack

Data / AI 2 profiles

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