TAPAS: Training network on Automatic processing of PAthological Speech
The project has started on 1 Nov. 2017.
2 PhD’s will be [co-]supervised by me and get their PhD’s from Radboud University Nijmegen:
ESR8 – hosted in Nijmegen, and ESR4 – hosted in Eindhoven – together with Aki Härmä.
There are an increasing number of people across Europe with debilitating speech pathologies (e.g., due to stroke, Parkinson’s, etc). These groups face communication problems that can lead to social exclusion. They are now being further marginalised by a new wave of speech technology that is increasingly woven into everyday life but which is not robust to atypical speech. TAPAS is proposing a programme of pathological speech research, that aims to transform the well-being of these people.
The TAPAS work programme targets three key research problems:
(a) Detection: We will develop speech processing techniques for early detection of conditions that impact on speech production. The outcomes will be cheap and non-invasive diagnostic tools that provide early warning of the onset of progressive conditions such as Alzheimer’s and Parkinson’s.
(b) Therapy: We will use newly-emerging speech processing techniques to produce automated speech therapy tools. These tools will make therapy more accessible and more individually targeted. Better therapy can increase the chances of recovering intelligible speech after traumatic events such a stroke or oral surgery.
(c) Assisted Living: We will re-design current speech technology so that it works well for people with speech impairments and also helps in making informed clinical choices. People with speech impairments often have other co-occurring conditions making them reliant on carers. Speech-driven tools for assisted-living are a way to allow such people to live more independently.
TAPAS adopts an inter-disciplinary and multi-sectorial approach. The consortium includes clinical practitioners, academic researchers and industrial partners, with expertise spanning speech engineering, linguistics and clinical science.
List of participants:
- Fondation de l’Institut de Recherche IDIAP, Switzerland
- Philips Electronics Nederland B.V., Netherlands
- Université Paul Sabatier Toulouse III, France
- Universitair Ziekenhuis Antwerpen, Belgium
- Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
- Radboud Universiteit Nijmegen (Stichting KU), Netherlands
- Instituto de Engenharia de Sistemas e Computadores, Portugal
- Ludwig-Maximilian University of Munich, Germany
- Interuniversitair Micro-electronica Centrum (IMEC), Belgium
- NKI – Antoni van Leeuwenhoek ziekenhuis, Netherlands
- Universität Passau, Germany
- The University of Sheffield, United Kingdom
Information on partner organisations:
- Philips Electronics UK Limited, United Kingdom
- Wolff von Gudenberg Thomas, Germany
- Associazione Italiana per l’As, Italy
- audEERING UG Haftungsbesch, Germany
- Medizinischen Universität Wien, Austria
- European Media Laboratory, Heidelberg, Germany
- Centre Hospitalier Universitaire, France
- Therapy Box Limited, United Kingdom
- Oxford Wave Research Ltd, United Kingdom
Wei Xue, Catia Cucchiarini, Roeland van Hout, Helmer Strik (2019)
Acoustic correlates of speech intelligibility: the usability of the eGeMAPS feature set for atypical speech.
SLaTE 2019: 8th ISCA Workshop on Speech and Language Technology in Education, 20-21 Sept. 2019, Graz, Austria