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Automatic classification of spoken South African English variants using a transcription-less speech recognition approach
(Stellenbosch : Stellenbosch University, 2004-03)
ENGLISH ABSTRACT: We present the development of a pattern recognition system which is capable of classifying
different Spoken Variants (SVs) of South African English (SAE) using a transcriptionless
speech recognition ...
A comparison of Gaussian mixture variants with application to automatic phoneme recognition
(Stellenbosch : University of Stellenbosch, 2007-12)
The diagonal covariance Gaussian Probability Density Function (PDF) has been a very
popular choice as the base PDF for Automatic Speech Recognition (ASR) systems. The
only choices thus far have been between the spherical, ...
Fast accurate diphone-based phoneme recognition
(Stellenbosch : University of Stellenbosch, 2009-03)
Statistical speech recognition systems typically utilise a set of statistical models of subword
units based on the set of phonemes in a target language. However, in continuous
speech it is important to consider co-articulation ...
Automatic phoneme recognition of South African English
(Stellenbosch : Stellenbosch University, 2004-03)
ENGLISH ABSTRACT: Automatic speech recognition applications have been developed for many languages in
other countries but not much research has been conducted on developing Human Language
Technology (HLT) for S.A. ...