Speech enhancement is used in almost all the modern communication systems. It is obvious
that when speech is being transmitted, its quality may degrade due to interference in the …

The natural process of understanding speech involves combining auditory and visual cues.
CNN based lip reading systems have become very popular in recent years. However, many …

In this paper, we propose a speech enhancement approach for a single-microphone system.
The main idea is to apply a specific transformation on the speech signal depending on the …

Variance based two dimensional time-frequency mask estimation for unsupervised speech
enhancement is proposed to improve the speech quality and intelligibility by reducing the …

In environments characterised by noise or the absence of audio signals, visual cues, notably
facial and lip movements, serve as valuable substitutes for missing or corrupted speech …

The extraction of relevant lip features is of continuing interest in the speech domain. Using
end-to-end feature extraction can produce good results, but at the cost of the results being …

The concept of using visual information as part of audio speech processing has been of
significant recent interest. This paper presents a data driven approach that considers …

Extraction of relevant lip features is of continuing interest in the visual speech domain. Using
end-to-end feature extraction can produce good results, but at the cost of the results being …

The use of Deep Neural Network (DNN) models for Visual Speech Recognition (VSR) has
recently been gaining traction. The use of more complex DNN models have greatly …

Human speech processing is a multimodal and cognitive activity, with visual information
playing a role. Many lipreading systems use English speech data, however, Chinese is the …