A series of webinars organized to conclude the TAPAS project

The SAMoVA team of the Signals, Images (SI) department is setting up a series of seven webinars to promote the H2020 TAPAS (Training Network on Automatic Processing of PAthological Speech) project, which is nearing its end. The PhD students who participated in this project will present their thesis topics in webinars. These weekly meetings will be held every Tuesday, starting May 3, 2022 from 1 to 2 pm, and will last for seven meetings. The PhD students will speak for about thirty minutes, and will answer questions from participants during the thirty minutes following the presentation.

The meetings will be held via this link on Zoom.

About TAPAS project

There are more and more people across Europe with pathologies affecting speech (e.g. due to stroke, Parkinson’s disease, etc.). These groups face communication problems that can lead to social exclusion. They are now further marginalized by a new wave of speech technologies that are increasingly integrated into everyday life but are not robust to atypical speech. TAPAS is a Horizon 2020 Marie Skłodowska-Curie Actions Innovative Training Network European Training Network (MSCA-ITN-ETN) project that aims to transform the well-being of these individuals. TAPAS takes an interdisciplinary and multi-sectoral approach. The consortium includes clinical practitioners, academic researchers and industry partners, with expertise spanning speech engineering, linguistics and clinical sciences. All members have expertise in some element of language pathology. This rich network is training a new generation of 15 researchers, equipping them with the skills and resources necessary for sustained success.

For more information, visit the project website: https://www.tapas-etn-eu.org/

Here is the full program:

Mar 3 May 2022: Sebastião QUINTAS (IRIT) – Deep learning approaches to assess head and neck cancer voice intelligibility

Yilin PAN (University Of Sheffield) – Using Speech Analysis to Detect Onset and Monitor Cognitive Decline

Mar 10 May 2022: Srikanth NALLANTHIGHAL (Philips Research Eindhoven) – Acoustic speech-based monitoring for telehealth and predictive analytics

Julian FRITSCH (Idiap Research Institute) – Learning detection of pathological speech

Mar 17 May 2022: Zhengjun YUE (University Of Sheffield) – Continuous speech recognition for people with dysarthria

Wei XUE (Radboud Universiteit Nijmegen) – Measures of pathological speech intelligibility: human ratings and automatic scores

Mar 24 May 2022: Juan Camilo VASQUEZ CORREA (Friedrich-Alexander-Univeristät Erlangen Nuernberg) – Modelling the progression of neurological diseases

Abdessalem HAMMAMI (imec / Ghent University) – Generating Phonological Feedback for Evidence-Based Speech Therapy

Mar 31 May 2022: Thomas ROLLAND (INESC ID) – Developing speech therapy games for children with speech disorder

Bence HALPERN (The Netherlands Cancer Institute – Antoni van Leeuwenhoek) – Predicting and synthesizing plausible speech examples after oral cancer treatment

Mar 7 June 2022: Zhao REN (University of Augsburg) – Deep learning techniques for computer audition

Enno HERMANN (Idiap Research Institute) – Rapid development of speech technology for pathological speech

Mar 14 June 2022: Viviana MENDOZA (Antwerp University Hospital) – Development of a virtual articulation therapist

Tomás ARIAS-VERGARA (Ludwig-Maximilains-Universität München) – Automatic surveying of speech of Cochlear Implant users