We introduce a digital game for children’s foreign-language learning that uses automatic speech recognition (ASR) for evaluating children’s utterances. Our first prototype focuses on the learning of English words and their pronunciation. The game connects to a network server, which handles the recognition and pronunciation grading of children’s foreign-language speech. The server is reusable for different applications. Given suitable acoustic models, it can be used for grading pronunciations in any language.
Cite as: Karhila, R., Ylinen, S., Enarvi, S., Palomäki, K., Nikulin, A., Rantula, O., Viitanen, V., Dhinakaran, K., Smolander, A.-R., Kallio, H., Junttila, K., Uther, M., Hämäläinen, P., Kurimo, M. (2017) SIAK — A Game for Foreign Language Pronunciation Learning. Proc. Interspeech 2017, 3429-3430
@inproceedings{karhila17_interspeech, author={Reima Karhila and Sari Ylinen and Seppo Enarvi and Kalle Palomäki and Aleksander Nikulin and Olli Rantula and Vertti Viitanen and Krupakar Dhinakaran and Anna-Riikka Smolander and Heini Kallio and Katja Junttila and Maria Uther and Perttu Hämäläinen and Mikko Kurimo}, title={{SIAK — A Game for Foreign Language Pronunciation Learning}}, year=2017, booktitle={Proc. Interspeech 2017}, pages={3429--3430} }