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Pronunciation Assessment Using Speech Technology
KTH, School of Education and Communication in Engineering Science (ECE), Learning, Language and communication.ORCID iD: 0000-0002-1351-636X
2013 (English)In: PROCEEDINGS OF THE 4TH ANNUAL PRONUNCIATION IN SECOND LANGUAGE LEARNING AND TEACHING CONFERENCE / [ed] John Levis ; Kimberly LeVelle, 2013Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

After decades of research, language technologies finally entered the mass market in the fall of 2011 with the release of the iPhone 4, whose main innovation was the introduction of Siri, the virtual, speech-directed personal assistant. As we become more comfortable with speech interfaces, we can expect growing trust in their use for pedagogical purposes. Language technologies are, relatively speaking, better at assessing pronunciation than at teaching it. Speech recognition (ASR) can identify deviant phonemes, without being able to easily provide a learner with information about what needs to be adjusted in terms of articulation. My contribution to the round table will report on the research challenges faced by engineers designing pronunciation training and assessment systems, and evaluate the strengths and weakness of automatic pronunciation testing.

Place, publisher, year, edition, pages
2013.
National Category
Languages and Literature
Research subject
Education and Communication in the Technological Sciences
Identifiers
URN: urn:nbn:se:kth:diva-263814OAI: oai:DiVA.org:kth-263814DiVA, id: diva2:1370289
Conference
4TH ANNUAL PRONUNCIATION IN SECOND LANGUAGE LEARNING AND TEACHING CONFERENCE, Simon Fraser University (Vancouver Campus), Vancouver, British Columbia, Canada, August 24-25, 2012
Note

QC 20191115

Available from: 2019-11-14 Created: 2019-11-14 Last updated: 2019-11-15Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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