In this paper we present our initial results in articulatory-toacoustic conversion based on
tongue movement recordings using Deep Neural Networks (DNNs). Despite the fact that …

Abstract The term “Silent Speech Interface” was introduced almost a decade ago to describe
speech communication systems using only non-acoustic sensors, such as …

Speech sounds are produced as the coordinated movement of the speaking organs. There
are several available methods to model the relation of articulatory movements and the …

Abstract Silent Speech Interface systems apply two different strategies to solve the
articulatory-to-acoustic conversion task. The recognition-and-synthesis approach applies …

Within speech processing, articulatory-to-acoustic mapping (AAM) methods can apply
ultrasound tongue imaging (UTI) as an input.(Micro) convex transducers are mostly used …

State-of-the-art silent speech interface systems apply vocoders to generate the speech
signal directly from articulatory data. Most of these approaches concentrate on estimating …

Incremental and quantitative improvements of two-way interactions with ex tended realities
(XR) are contributing toward a qualitative leap into a state of XR ecosystems being efficient …

Chances are that most of us have experienced difficulty in listening to our interlocutor during
face-to-face conversation while in highly noisy environments, such as next to heavy traffic or …

When using ultrasound video as input, Deep Neural Network-based Silent Speech
Interfaces usually rely on the whole image to estimate the spectral parameters required for …

This paper surveys human-inspired speech technologies developed for European
Portuguese and the computational models they integrate and made them possible. In this …