Browsing Faculty of Engineering by Subject "Feature distributions"
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Synthetic triphones from trajectory-based feature distributions
(Pattern Recognition Association of South Africa and Mechatronics International Conference, 2015)We experiment with a new method to create synthetic models of rare and unseen triphones in order to supplement limited automatic speech recognition (ASR) training data. A trajectory model is used to characterise seen ...