Speech brain–computer interfaces (BCIs) have the potential to restore rapid communication
to people with paralysis by decoding neural activity evoked by attempted speech into text, or …

This paper reviews data collection practices in electromagnetic articulography (EMA)
studies, with a focus on sensor placement. It consists of three parts: in the first part, we …

Phonetics is the scientific field concerned with the study of how speech is produced, heard,
and perceived. It abounds with data, such as acoustic speech recordings, neuroimaging …

In this work, we incorporated acoustically derived source features, aperiodicity, periodicity
and pitch as additional targets to an acoustic-to-articulatory speech inversion (SI) system …

Speech dysfluency modeling is the core module for spoken language learning, and speech
therapy. However, there are three challenges. First, current state-of-the-art solutions~~\cite …

Advances in speech driven animation techniques allow the creation of convincing
animations for virtual characters solely from audio data. Many existing approaches focus on …

Advancements in generative artificial intelligence have made it easier to manipulate auditory
and visual elements, highlighting the critical need for robust audio–visual deepfake …

Vowel-intrinsic fundamental frequency (IF0), the phenomenon that high vowels tend to have
a higher fundamental frequency (f0) than low vowels, has been studied for over a century …

Silent speech interfaces (SSIs) convert non-audio bio-signals, such as articulatory
movement, to speech. This technology has the potential to recover the speech ability of …

Speech inversion is a well-known ill-posed problem and addition of speaker differences
typically makes it even harder. Normalizing the speaker differences is essential to effectively …