Stephan Schlögl


pdf bib
Designing Language Technology Applications: A Wizard of Oz Driven Prototyping Framework
Stephan Schlögl | Pierrick Milhorat | Gérard Chollet | Jérôme Boudy
Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics


pdf bib
Multi-step Natural Language Understanding
Pierrick Milhorat | Stephan Schlögl | Gérard Chollet | Jérôme Boudy
Proceedings of the SIGDIAL 2013 Conference

pdf bib
WebWOZ: A Platform for Designing and Conducting Web-based Wizard of Oz Experiments
Stephan Schlögl | Saturnino Luz | Gavin Doherty
Proceedings of the SIGDIAL 2013 Conference


pdf bib
Rapidly Testing the Interaction Model of a Pronunciation Training System via Wizard-of-Oz
Joao Paulo Cabral | Mark Kane | Zeeshan Ahmed | Mohamed Abou-Zleikha | Éva Székely | Amalia Zahra | Kalu Ogbureke | Peter Cahill | Julie Carson-Berndsen | Stephan Schlögl
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

This paper describes a prototype of a computer-assisted pronunciation training system called MySpeech. The interface of the MySpeech system is web-based and it currently enables users to practice pronunciation by listening to speech spoken by native speakers and tuning their speech production to correct any mispronunciations detected by the system. This practice exercise is facilitated in different topics and difficulty levels. An experiment was conducted in this work that combines the MySpeech service with the WebWOZ Wizard-of-Oz platform (, in order to improve the human-computer interaction (HCI) of the service and the feedback that it provides to the user. The employed Wizard-of-Oz method enables a human (who acts as a wizard) to give feedback to the practising user, while the user is not aware that there is another person involved in the communication. This experiment permitted to quickly test an HCI model before its implementation on the MySpeech system. It also allowed to collect input data from the wizard that can be used to improve the proposed model. Another outcome of the experiment was the preliminary evaluation of the pronunciation learning service in terms of user satisfaction, which would be difficult to conduct before integrating the HCI part.