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 …

Voice is one of the essential mechanisms for communicating and expressing one's
intentions as a human being. There are several causes of voice inability, including disease …

Connected and Autonomous Vehicles (CAVs) combine technologies of autonomous
vehicles (AVs) and connected vehicles (CVs) to develop quicker, more reliable, and safer …

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 …

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

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

Silent speech recognition (SSR) predicts textual information from silent articulation, which is
an algorithm design in silent speech interfaces (SSIs). SSIs have the potential of recovering …

Neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) can cause locked-
in-syndrome (fully paralyzed but aware). Brain-computer interface (BCI) may be the only …

Recently it was shown that within the Silent Speech Interface (SSI) field, the prediction of F0
is possible from Ultrasound Tongue Images (UTI) as the articulatory input, using Deep …

Articulatory-to-acoustic (forward) mapping is a technique to predict speech using various
articulatory acquisition techniques (eg ultrasound tongue imaging, lip video). Real-time MRI …