2017
INTERSPEECH
INTERSPEECH 2017
SIAK — A Game for Foreign Language Pronunciation Learning
Abstract
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.
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Interdisciplinary Bridge
— Machine Learning and Speech & Audio
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Keyword Pioneer
— children speech recognition
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio