This study investigates speech comprehension in competing multi-talker babble. We examined the effects of number of simultaneous talkers and of frequency of words in the babble on...
This paper presents MISTRAL, an open source statistical machine translation decoder dedicated to spoken language translation. While typical machine translation systems take a writ...
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
We present a technique in which physical controls have both normal and voice-enabled activation styles. In the case of the latter, knowledge of which physical control was activate...