Technology that translates neural activity into speech would be transformative for people
who are unable to communicate as a result of neurological impairments. Decoding speech …

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 …

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

While audio-visual speech models can yield superior performance and robustness
compared to audio-only models, their development and adoption are hindered by the lack of …

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 …

Silent speech interfaces are systems that enable speech communication even when an
acoustic signal is unavailable. Over the last years, public interest in such interfaces has …

Self-supervised learning (SSL) based speech foundation models have been applied to a
wide range of ASR tasks. However, their application to dysarthric and elderly speech via …

Recent self-supervised learning (SSL) models have proven to learn rich representations of
speech, which can readily be utilized by diverse downstream tasks. To understand such …

In the articulatory synthesis task, speech is synthesized from input features containing
information about the physical behavior of the human vocal tract. This task provides a …