This review summarises the status of silent speech interface (SSI) research. SSIs rely on non-
acoustic biosignals generated by the human body during speech production to enable …

The availability of digital devices operated by voice is expanding rapidly. However, the
applications of voice interfaces are still restricted. For example, speaking in public places …

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 …

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 …

We present the Tongue and Lips corpus (TaL), a multi-speaker corpus of audio, ultrasound
tongue imaging, and lip videos. TaL consists of two parts: TaL1 is a set of six recording …

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

In this paper we present a silent speech interface (SSI) system aimed at restoring speech
communication for individuals who have lost their voice due to laryngectomy or diseases …

For articulatory-to-acoustic mapping using deep neural networks, typically spectral and
excitation parameters of vocoders have been used as the training targets. However …

This article investigates the use of statistical mapping techniques for the conversion of
articulatory movements into audible speech with no restriction on the vocabulary, in the …

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 …