Available
Project number:
2025_90
Start date:
October 2025
Project themes:
Main supervisor:
Lecturer in AI for Speech Analysis for Healthcare
Co-supervisor:
Professor Richard Dobson
Additional Information:
Collecting and Analysing Speech from Clinical Interviews from Community Mental Health Teams and linking with Electronic Health Records
Background:
Understanding the nuances of speech during clinical interviews can provide critical insights into patient mental states, symptomatology, and treatment responses. This project aims to develop technology to systematically collect and analyse speech data from clinical interviews, linking this data with Electronic Health Records (EHRs) to enhance understanding of patient experiences and outcomes.
Novelty and Importance: Existing research on speech-based health assessment is typically done on small-scale projects aiming to identify how speech differs between clinical populations. This research seeks to bridge the gap between clinical practice, spoken language analysis, and health informatics. This PhD represents one of the first attempts to link speech marks collected and derived from clinic interviews with EHRs.
Aims and Objectives: The core aim of this PhD will be to develop a collection and analytical framework to link speech markers with EHRs. The student will first learn the skills required to develop an Internet of Things (IoT) device to remotely collect clinical interviews. The student will work with clinicians to ensure the developed approach is simple to us with minimal interruptions to standard clinical proceedings with both clinician and patient. The second phase of the project will be the use of the Clinical Record Interactive Search (CRIS) system to link the markers with EHRs. The findings from this PhD have the potential to revolutionise our understanding of speech patterns and help develop more effective precision medicine-based assessment tools.
We are now accepting applications for 1 October 2025
How to apply
Candidates should possess or be expected to achieve a 1st or upper 2nd class degree in a relevant subject including the biosciences, computer science, mathematics, statistics, data science, chemistry, physics, and be enthusiastic about combining their expertise with other disciplines in the field of healthcare.
Important information for International Students:
It is the responsibility of the student to apply for their Student Visa. Please note that the EPSRC DRIVE-Health studentship does not cover the visa application fees or the Immigration Health Surcharge (IHS) required for access to the National Health Service. The IHS is mandatory for anyone entering the UK on a Student Visa and is currently £776 per year for each year of study. Further detail can be found under the International Students tab below.
Next Steps
- Applications submitted by the closing date of Thursday 6 February 2025 will be considered by the CDT. We will contact shortlisted applicants with information about this part of the recruitment process.
- Candidates will be invited to attend an interview. Interviews are projected to take place in April 2025.
- Project selection will be through a panel interview chaired by either Professor Richard Dobson and Professor Vasa Curcin (CDT Directors) followed by informal discussion with prospective supervisors.
- If you have any questions related to the specific project you are applying for, please contact the main supervisor of the project directly.
For any other questions about the recruitment process, please email us at