Dr Nicholas Cummins
Lecturer in AI for speech analysis
Research interests
- Computer science
Contact details
Biography
Nicholas (Nick) Cummins is a lecturer in AI for speech analysis for health at the Department of Biostatistics and Health Informatics at King’s College London. Nick’s current research interests include speech processing, affective computing and multisensory signal analysis.
He is fascinated by the application of machine learning techniques to improve our understanding of different health conditions and mental health disorders in particular. Nick is actively involved in RADAR-CNS project in which he assists in the management of Work Package 8: Data Analysis & Biosignatures. He is an EDI Theme Representative at the NIHR Maudsley BRC.
Nick was awarded his PhD in electrical engineering from UNSW Australia in February 2016 for his thesis ‘Automatic assessment of depression from speech: paralinguistic analysis, modelling and machine learning’. After completing his PhD, he was a postdoctoral researcher at the Chair of Complex and Intelligent Systems at the University of Passau, Germany.
Most recently, he was a habilitation candidate at the Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg, also in Germany. During his time in Germany, he was involved in the DE-ENIGMA, RADAR-CNS, TAPAS and sustAGE Horizon 2020 projects. He also wrote and delivered courses in speech pathology, deep learning and intelligent signal analysis in medicine.
Research interests
- Speech processing
- Artificial Intelligence
- Machine Learning
- Affective computing
- Behavioural Signal Processing
- Multisensory signal analysis
- Digital phenotyping
Teaching
- Artificial Intelligence in Health Analytics
- Machine Learning in Biostatistics & Health Informatics
Expertise and public engagement
Nick is an external advisor on the National Science Foundation of China (NSFC) funded project, “Diagnosis of Depression by Speech Signals” (grant No.31860285), led by Dr. Xiaoyong Lu, Northwest Normal University Lanzhou, China.
He has (co-)authored over 100 conference and journal papers leading to over 1900 citations (h-index: 23). He is a frequent reviewer for IEEE, ACM and ISCA journals and conferences as well as serving on program and organisational committees. He is a member of ACM, ISCA, IEEE and a full member of the IET.
Research
NIHR HealthTech Research Centre in Brain Health
National Institute for Health and Care Research (NIHR) HealthTech Research Centre, designed to accelerate the advancement of cutting-edge technology to better understand brain health and ageing and help people live healthier lives for longer.
News
Exploring the role of AI in the Armed Forces
Earlier this week, academics came together with charity leaders, industry members and civil servants for an event at King’s College London that explored...
How can speech recorded with smartphones help monitor depression?
Researchers from the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London are using novel methods to analyse speech recorded in...
Events
Towards the Clinical Adoption of Voice and Speech as Digital Biomarkers of Mental Health
A seminar discussing the translation of AI-generated speech analysis into clinical practice.
AI in Research
What is the role of AI in scientific and medical research?
Please note: this event has passed.
Partnering for Change: AI predicting mental health - possible futures
Part of the ESRC Centre for Society and Mental Health Festival 2022: Partnering for Change
Please note: this event has passed.
The potential of smartphone voice recordings to monitor depression severity
The third RADAR-CNS online seminar will present initial findings and insights from a large multilingual longitudinal speech health study.
Please note: this event has passed.
Research
NIHR HealthTech Research Centre in Brain Health
National Institute for Health and Care Research (NIHR) HealthTech Research Centre, designed to accelerate the advancement of cutting-edge technology to better understand brain health and ageing and help people live healthier lives for longer.
News
Exploring the role of AI in the Armed Forces
Earlier this week, academics came together with charity leaders, industry members and civil servants for an event at King’s College London that explored...
How can speech recorded with smartphones help monitor depression?
Researchers from the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London are using novel methods to analyse speech recorded in...
Events
Towards the Clinical Adoption of Voice and Speech as Digital Biomarkers of Mental Health
A seminar discussing the translation of AI-generated speech analysis into clinical practice.
AI in Research
What is the role of AI in scientific and medical research?
Please note: this event has passed.
Partnering for Change: AI predicting mental health - possible futures
Part of the ESRC Centre for Society and Mental Health Festival 2022: Partnering for Change
Please note: this event has passed.
The potential of smartphone voice recordings to monitor depression severity
The third RADAR-CNS online seminar will present initial findings and insights from a large multilingual longitudinal speech health study.
Please note: this event has passed.