This paper describes the acquisition of a new database of dysarthric speech in terms of
aligned acoustics and articulatory data. This database currently includes data from seven …

Canonical correlation analysis (CCA) and kernel CCA can be used for unsupervised
learning of acoustic features when a second view (eg, articulatory measurements) is …

Disabled speech is not compatible with modern generative and acoustic-only models of
speech recognition (ASR). This work considers the use of theoretical and empirical …

This paper presents an investigation into ways of integrating articulatory features into hidden
Markov model (HMM)-based parametric speech synthesis. In broad terms, this may be …

The rapid population aging has stimulated the development of assistive devices that provide
personalized medical support to the needies suffering from various etiologies. One …

We consider the problem of learning transformations of acoustic feature vectors for phonetic
frame classification, in a multi-view setting where articulatory measurements are available at …

Spoken language, especially conversational speech, is characterized by great variability in
word pronunciation, including many variants that differ grossly from dictionary prototypes …

Hybrid deep neural network–hidden Markov model (DNN-HMM) systems have become the
state-of-the-art in automatic speech recognition. In this paper we experiment with DNN-HMM …

Many different studies have claimed that articulatory information can be used to improve the
performance of automatic speech recognition systems. Unfortunately, such articulatory …

In this work, we investigate the joint use of articulatory and acoustic features for automatic
speech recognition (ASR) of pathological speech. Despite long-lasting efforts to build …