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Acoustic Modelling for Under-Resourced Languages

Stüker, Sebastian

Abstract:
Automatic speech recognition systems have so far been developed only for very few languages out of the 4,000-7,000 existing ones.
In this thesis we examine methods to rapidly create acoustic models in new, possibly under-resourced languages, in a time and cost effective manner. For this we examine the use of multilingual models, the application of articulatory features across languages, and the automatic discovery of word-like units in unwritten languages.

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Volltext §
DOI: 10.5445/IR/1000014983
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Zugehörige Institution(en) am KIT Institut für Anthropomatik (IFA)
Publikationstyp Hochschulschrift
Jahr 2009
Sprache Englisch
Identifikator urn:nbn:de:swb:90-149839
KITopen-ID: 1000014983
Verlag Universität Karlsruhe, Karlsruhe
Abschlussart Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Anthropomatik (IFA)
Prüfungsdaten 23.07.2009
Referent/Betreuer Prof. A. Waibel
Schlagworte Automatic Speech Recognition, Rapid Porting, Multilingual Speech Recognition
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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