Event Date:
Wednesday, December 4, 2024 - 3:30pm to 4:30pm
Event Date Details:
Wednesday, December 4th 2024
3:30-4:30pm PST.
Event Location:
- Zoom
Event Contact:
Dr. Marta Campi
Postdoctoral Researcher at Institut Pasteur's Hearing Institute in Paris
Related Link:
- Department Seminar
Abstract: Medical diagnostic methods that utilise modalities of patient symptoms such as speech are increasingly being used for initial diagnostic purposes and monitoring disease state progression. Speech disorders are particularly prevalent in neurological degenerative diseases such as Parkinson’s disease, the focus of the study undertaken in this work. We will demonstrate state-of-the-art statistical time-series methods that combine elements of statistical time series modelling and signal processing with modern machine learning methods based on Gaussian process models to develop methods to accurately detect a core symptom of speech disorder in individuals who have Parkinson’s disease. We will show that the proposed methods out-perform standard best practices of speech diagnostics in detecting ataxic speech disorders, and we will focus the study, particularly on a detailed analysis of a well regarded Parkinson’s data speech study publicly available making all our results reproducible. The methodology developed is based on a specialised technique not widely adopted in medical statistics that found great success in other domains such as signal processing, seismology, speech analysis and ecology. In this work, we will present this method from a statistical perspective and generalise it to a stochastic model, which will be used to design a test for speech disorders when applied to speech time series signals. As such, this work is making contributions both of a practical and statistical methodological nature.
Link to the paper: https://journals.plos.
Short bio: Dr. Marta Campi is a Postdoctoral Researcher at Institut Pasteur's Hearing Institute in Paris, where she specializes in Statistical Signal Processing and Machine Learning. She earned her PhD in Statistical Science and Signal Processing from University College London, following an MPhil in Statistics and an MRes in Financial Computing from UCL, and an MSc in Financial Econometrics from the University of Essex. She holds a Bachelor's degree in Mathematical and Statistics from the University of Genoa. Her current research focuses on developing real-time speech enhancement signal processing techniques for hearing aids, with particular emphasis on personalized solutions for auditory neuropathies. Dr. Campi academic experience includes roles as a Teaching Assistant at UCL's Statistical Science and Computer Science Departments, and assistant research positions at institutions including Telecom Paris and Heriot-Watt University.
December 2, 2024 - 7:57am