SIAK - A Game for Foreign Language Pronunciation Learning

被引：0

作者：

Karhila, Reima ^{[1
]}

Ylinen, Sari ^{[2
]}

Enarvi, Seppo ^{[1
]}

Palomaki, Kalle ^{[1
]}

Nikulin, Aleksander ^{[1
]}

Rantula, Olli ^{[1
]}

Viitanen, Vertti

Dhinakaran, Krupakar ^{[1
]}

Smolander, Anna-Riikka ^{[2
]}

Kallio, Heini ^{[2
]}

Junttila, Katja ^{[2
]}

Uther, Maria ^{[3
]}

Hamalainen, Perttu ^{[1
]}

Kurimo, Mikko ^{[1
]}

机构：

[1] Aalto Univ, Helsinki, Finland

[2] Univ Helsinki, Helsinki, Finland

[3] Univ Winchester, Winchester, Hants, England

来源：

18TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2017), VOLS 1-6: SITUATED INTERACTION | 2017年

关键词：

pronunciation grading; language learning; phonetics; speech analysis;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：3429 / 3430

页数：2

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