Pronunciation training with non-native automatic speech recognition
dc.contributor.advisor
Clark, Robert A. J.
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dc.contributor.advisor
Ladd, D. R.
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dc.contributor.author
Lymperopoulou, Sofia
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dc.date.accessioned
2007-10-31T10:40:16Z
dc.date.available
2007-10-31T10:40:16Z
dc.date.issued
2006
dc.description.abstract
In this thesis I investigate the way that automatic speech recognition can be best implemented so as to be smoothly integrated in the classes of teaching a foreign language. The main goal of this thesis was to implement a speech recogniser who would identify pronunciation mistakes made by Greek native speakers when speaking German. In particular, I am investigating the recognition of duration of vowels. The proposed recogniser shows that there is a difference between conventional recognisers and those who are directed to teaching of pronunciation, given that more principles need to be taken into consideration and more fields need to work together for a satisfactory result.
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dc.format.extent
2195978 bytes
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dc.format.mimetype
application/pdf
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dc.identifier.uri
http://hdl.handle.net/1842/2067
dc.language.iso
en
dc.subject
automatic speech recognition
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dc.subject
linguistics
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dc.title
Pronunciation training with non-native automatic speech recognition
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Masters
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dc.type.qualificationname
MSc Master of Science
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dcterms.accessRights
RESTRICTED ACCESS
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