Although much is known about how speech is produced, and research into speech
production has resulted in measured articulatory data, feature systems of different kinds, and …

When speaking, we dynamically coordinate movements of our jaw, tongue, lips, and larynx.
To investigate the neural mechanisms underlying articulation, we used direct cortical …

Use of artificial intelligence (AI) is a burgeoning field in otolaryngology and the
communication sciences. A virtual symposium on the topic was convened from Duke …

In this paper, we describe a statistical approach to both an articulatory-to-acoustic mapping
and an acoustic-to-articulatory inversion mapping without using phonetic information. The …

River flooding is a natural phenomenon that can have a devastating effect on human life and
economic losses. There have been various approaches in studying river flooding; however …

In this paper we consider the problems of supervised classification and regression in the
case where attributes and labels are functions: a data is represented by a set of functions …

Studies have shown that articulatory information helps model speech variability and,
consequently, improves speech recognition performance. But learning speaker-invariant …

Voice data generated on instant messaging or social media applications contains unique
user voiceprints that may be abused by malicious adversaries for identity inference or …

Acoustic-to-articulatory inversion is usually done in a subject-dependent manner, ie, the
inversion procedure may not work well if the parallel acoustic and articulatory training data is …

The many-to-one mapping from representations in the speech articulatory space to acoustic
space renders the associated acoustic-to-articulatory inverse mapping non-unique. Among …