Projects in my lab (ongoing and finished)

In my lab, my students, staff and I are studying various research questions. These either center around identifying patterns in speech production, identifying patterns in large online available corpora (big data), or focus on using visualization of tongue movements to help to improve a learner's pronunciation.

Automatic detection of linguistic patterns in legal big data (2017 - 2021)
(PhD student: Masha Medvedeva, Co-PI: Michel Vols, Collaborators: Johan Bos, ItaliaNLP)

In this project, we attempt to automatically detect patterns in Dutch and English case law. The goal of this interdisciplinary project is to develop and evaluate quantitative techniques which may predict the outcome of case law. This project is funded by the Young Academy Groningen.

Longitudinal acoustic and articulatory patterns in speakers with dysarthria (2017 - 2020)
(PhD student: Jidde Jacobi, Co-supervisors: Roel Jonkers, Michael Proctor, and Ben Maassen)

In this IDEALAB-funded project, we attempt to identify differences in acoustic and articulatory patterns in patients with dysarthria compared to healthy patients. We will collect data over multiple points in time in order to provide a longitudinal perspective.

Using ultrasound tongue imaging to investigate and improve L2 pronunciation (2017 - 2019)
(Research assistant: vacancy - contact me if you are interested, Collaborator: Johan van Hattum)

In this project we aim to investigate how visualizing tongue movements using ultrasound may be used to help a learner to improve his or her pronunciation in a second language (L2). This project is funded by the Groningen University Fund and De Jonge Akademie.

Automatic recognition of Frisian speakers: using computers to discriminate Frisian voice (2017 - 2018)
(Co-PI: Nanna Hilton, Post-doc: Aki Kunikoshi, Data scientist: Herbert Kruitbosch)

In this project, we will study the effects of one language on another in our voices, by considering how recognizable Frisian phonological traits are in speakers' production of their first language Frisian as well as in their second language, Dutch. This project is funded by the University of Groningen (Data Science projects 2017).

Identifying Dutch accents automatically (2017 - 2018)
(Post-doc: Aki Kunikoshi, Data scientist: Herbert Kruitbosch, Collaborator: David van Leeuwen)

In this project we aim to automatically detect Dutch accents on the basis of data from the Sprekend Nederland data. Particularly, we are interested in identifying the acoustic and segmental characteristics of the different accents. This project is funded by the Centre for Digital Humanities of the University of Groningen.

Speech recognition for congenitally blind speakers (2016 - 2017)
(Researcher: Pauline Veenstra, Collaborator: Royal Dutch Visio)

In this project we investigate if the speech of congenitally blind speakers differs from that of sighted speakers, both from an articulatory as well as an acoustic perspective. Specifically, we investigate if automatic speech recognition performance differs between the two groups. This project was funded by VIVIS. The results of the project were presented at several conferences (e.g., see here: page 88), and are currently in the process of being written down.

Improving speech learning models and English pronunciation with articulography (2013 - 2017)(Collaborators: Patti Adank, Mark Tiede, Andrea Weber, R. Harald Baayen and others)

In this project we are investigating articulatory differences between Dutch and German speakers' pronunciation of English versus those of native English speakers. Furthermore, we are assessing how visual feedback of the speech articulators may help improve non-native speakers' pronunciation of English. This project was funded by NWO (Veni grant). Results of the project can be found in several publications.

Investigating language variation physically (2012 - 2013)
(Collaborators: R. Harald Baayen and team members in Tübingen)

In this project (conducted at the University of Tübingen) we have investigated Dutch dialect variation using articulography. This project was funded by NWO (Rubicon grant). Results of the project can be found in several publications.

Collaborative projects

When the voice doesn't speak to the mind: an articulographic investigation of feedback deficits in Childhood Apraxia of Speech (2017 - 2020)
(PI: Stefanie Keulen, Collaborators: Martijn Wieling, Philippe Paquier, Mark Tiede)

In this project (conducted at the Free Universy Brussel), Stefanie will be investigating feedback mechanisms in Childhood Apraxia of Speech patients. For this she will collect articulatory (electromagnetic articulography and ultrasound tongue imaging) data. This project is funded by FWO (Postdoctoral Fellow grant).

Lab equipment