The use of speaker adaptation transforms as features for speaker recognition is an appealing alternative to conventional short-term cepstral features. In general, this kind of met...
We propose a committee-based active learning method for large vocabulary continuous speech recognition. In this approach, multiple recognizers are prepared beforehand, and the rec...
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
The method which is called the “tandem approach” in speech recognition has been shown to increase performance by using classifier posterior probabilities as observations in a...
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...