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 …

Visual speech information from the speaker's mouth region has been successfully shown to
improve noise robustness of automatic speech recognizers, thus promising to extend their …

We propose an end-to-end deep learning architecture for word-level visual speech
recognition. The system is a combination of spatiotemporal convolutional, residual and …

Speech is a complex process involving a wide range of biosignals, including but not limited
to acoustics. These biosignals-stemming from the articulators, the articulator muscle …

Lipreading, ie speech recognition from visual-only recordings of a speaker's face, can be
achieved with a processing pipeline based solely on neural networks, yielding significantly …

Lip reading aims to predict the spoken sentences from silent lip videos. Due to the fact that
such a vision task usually performs worse than its counterpart speech recognition, one …

Visual speech information plays an important role in lipreading under noisy conditions or for
listeners with a hearing impairment. In this paper, we present local spatiotemporal …

We have made significant progress in automatic speech recognition (ASR) for well-defined
applications like dictation and medium vocabulary transaction processing tasks in relatively …

Multimodal signal processing has become an important topic of research for overcoming
certain problems of audio-only speech processing. Audio-visual speech recognition is one …

Fatigue and drowsiness of drivers are amongst the significant causes of road accidents. In
this paper, we discuss a method for detecting drivers' drowsiness and subsequently alerting …