Spoken language identification in resource-scarce environments

Spoken language identification in resource-scarce environments

South Africa has eleven official languages, ten of which are considered “resource-scarce”. For these languages, even basic linguistic resources required for the development of speech technology systems can be difficult or impossible to obtain. In this thesis, the process of developing Spoken Languag...

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Bibliographic Details
Main Author: Peche, Marius
Other Authors: Dr M Davel
Published: 2013
Subjects:
Taal modellering
Parallelle foneem herkenning
Outomatiese spraak herkenning
Gesproke taal identifisering
Menslike taal tegnologie
Suboptimal resources
Mismatched resources
Incomplete resources
Language modeling
Parallel phoneme recognition
Automatic speech recognition
Human language technologies
Spoken language identification
Onvolledige hulpbronne
Teenstrydige hulpbronne
Ondergeskikte hulpbronne
UCTD
Online Access:http://hdl.handle.net/2263/27513
Peche, M 2009, Spoken language identification in resource-scarce environments, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/27513 >
http://upetd.up.ac.za/thesis/available/etd-08242010-191214/

Internet

http://hdl.handle.net/2263/27513
Peche, M 2009, Spoken language identification in resource-scarce environments, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/27513 >
http://upetd.up.ac.za/thesis/available/etd-08242010-191214/

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