SIAK — A Game for Foreign Language Pronunciation Learning

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

Research units

  • University of Helsinki
  • University of Winchester

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.

Details

Original languageEnglish
Title of host publicationProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Publication statusPublished - Aug 2017
MoE publication typeA4 Article in a conference publication
EventInterspeech - Stockholm, Sweden
Duration: 20 Aug 201724 Aug 2017
Conference number: 18
http://www.interspeech2017.org/

Publication series

NameInterspeech: Annual Conference of the International Speech Communication Association
ISSN (Electronic)1990-9772

Conference

ConferenceInterspeech
CountrySweden
CityStockholm
Period20/08/201724/08/2017
Internet address

    Research areas

  • pronunciation grading, language learning, phonetics, speech analysis

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