We describe a new method for pruning in dynamic models based on running an adaptive filtering algorithm online during decoding to predict aspects of the scores in the near future....
The difference between native speakers' and non-native speakers' naturalness judgements of synthetic speech is investigated. Similar/difference judgements are analysed v...
This corpus-based study shows that the presence and duration of schwa in Dutch word-initial syllables are affected by a word's predictability and its morphological structure....
In this paper, we propose a new semi-supervised training method for Gaussian Mixture Models. We add a conditional entropy minimizer to the maximum mutual information criteria, whi...
Hidden Markov models (HMMs) have proven useful in various aspects of speech technology from automatic speech recognition through speech synthesis, speech segmentation and grapheme...
Udochukwu Kalu Ogbureke, Peter Cahill, Julie Carso...