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Now showing items 11-15 of 15
Non-acoustic speaker recognition
(Stellenbosch : University of Stellenbosch, 2004-12)
ENGLISH ABSTRACT: In this study the phoneme labels derived from a phoneme recogniser are used for phonetic
speaker recognition. The time-dependencies among phonemes are modelled by using
hidden Markov models (HMMs) for ...
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. ...
Fusion of phoneme recognisers for South African English
(Stellenbosch : University of Stellenbosch, 2009-03)
ENGLISH ABSTRACT: Phoneme recognition systems typically suffer from low classification accuracy. Recognition
for South African English is especially difficult, due to the variety of vastly different accent
groups. This ...
USB telephony interface device for speech recognition applications
(Stellenbosch : University of Stellenbosch, 2005-12)
Automatic speech recognition (ASR) systems are an attractive means for companies to deliver value added
services with which to improve customer satisfaction. Such ASR systems require a telephony interface to
connect the ...
Tree-based Gaussian mixture models for speaker verification
(Stellenbosch : University of Stellenbosch, 2005-12)
The Gaussian mixture model (GMM) performs very effectively in applications
such as speech and speaker recognition. However, evaluation speed is greatly
reduced when the GMM has a large number of mixture components. ...