Centre for Language and Speech Technology

More information

Related priority research areas

3. Language learning and learning disabilities

Key persons

Helmer Strik received his Ph.D. in physics, on voice source modeling research, from the University of Nijmegen. He is now assistant professor Language and Speech Technology at the University of Nijmegen. His research activities include automatic speech recognition (ASR), spoken dialogue systems, and ASR-based assessment and training of spoken language proficiency. He has published over 140 refereed papers in international journals, books, magazines and proceedings. He has supervised Ma and PhD theses and was invited as a panelist and/or keynote speaker at international conferences and symposia. He is member of the scientific committee of the ISCA Special Interest Group on Speech and Language Technology in Education (SLaTE, www.sigslate.org), and a member of the international scientific committee of many speech-related conferences and workshops (e.g. InterSpeech, ICASSP, ASRU). For more information, see http://lands.let.ru.nl/~strik/

The Centre for Language and Speech Technology (CLST) at the Radboud University, provides research, services for application development, and consultancy in the area of language and speech technology. CLST is embedded in the Department of Language and Speech of the Radboud University Nijmegen. CLST also comprises the Speech Processing Expertise Centre (SPEX) which is specialised in the validation of speech databases. It has been involved in many national and international projects (see http://www.ru.nl/clst/projects/) and projects on so called ‘a-typical speech’ (speech of foreigners and people with communicative disabilities). For more information see e.g. http://lands.let.ru.nl/~strik/research/projects/ & http://lands.let.ru.nl/~strik/publications/.

Finished projects:

  • ATOP: Automatic Testing of Oral Proficiency [http://lands.let.ru.nl/~strik/research/ATOP.html]. The results of this project showed that automatic testing of oral proficiency is feasible, and that automatic scores correlate well with human judgments. Especially oral fluency can be assessed well by means of automatically calculated temporal measures.
  • Dutch-CAPT: Dutch Computer-Assisted Pronunciation Training [http://lands.let.ru.nl/~strik/research/Dutch-CAPT/]. A pronunciation training program was developed that gave feedback on segmental errors. For language learners that used this program the decrease in the number of pronunciation errors was substantially larger than for a control group that did not use our system.
  • STaD: Speech Technology and Dysarthria; ASR of Dutch dysarthric speech [http://lands.let.ru.nl/~strik/research/stad.html]. In this project we tested how well ASR of dysarthric speech works. It was shown that the performance of the ASR can be substantially improved by optimizing the ASR system for dysarthric speech.

Ongoing projects:

  • DISCO: Development and Integration of Speech technology into Courseware for language learning [http://lands.let.ru.nl/~strik/research/DISCO/]. In this project we will develop a program for training oral proficiency, which gives feedback on errors in pronunciation, morphology, and syntax. We will test this system with language learners of Dutch.
  • FASOP: Feedback and the Acquisition of Syntax in Oral Proficiency [http://lands.let.ru.nl/~strik/research/FASOP.html]. Computer programs for training oral proficiency give feedback on errors made. In this project we will compare and test different types of (corrective) feedback, in order to find out what works best.
  • MPC: ‘My Pronunciation Coach’ [http://lands.let.ru.nl/~strik/research/MPC.html]. Our final goal is to develop a high-end product that educational institutions teaching English can use to support teachers in providing feedback to their Dutch students on their pronunciation of the English language.
  • CRDP: Communication & Revalidation ‘DigiPoli’ [http://lands.let.ru.nl/~strik/research/CRDP/]. In many e-Health applications patients have to communicate with computers. However, for patients with communicative disabilities this can be problematic. In this project technology will be developed for improving the communication possibilities for these patients.