An overview of deep-learning-based audio-visual speech enhancement and separation
Speech enhancement and speech separation are two related tasks, whose purpose is to
extract either one or more target speech signals, respectively, from a mixture of sounds …
extract either one or more target speech signals, respectively, from a mixture of sounds …
CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement
Noisy situations cause huge problems for the hearing-impaired, as hearing aids often make
speech more audible but do not always restore intelligibility. In noisy settings, humans …
speech more audible but do not always restore intelligibility. In noisy settings, humans …
Watmif: Multimodal medical image fusion-based watermarking for telehealth applications
Over recent years, the volume of big data has drastically increased for medical applications.
Such data are shared by cloud providers for storage and further processing. Medical images …
Such data are shared by cloud providers for storage and further processing. Medical images …
Contextual deep learning-based audio-visual switching for speech enhancement in real-world environments
Human speech processing is inherently multi-modal, where visual cues (eg lip movements)
can help better understand speech in noise. Our recent work [1] has shown that lip-reading …
can help better understand speech in noise. Our recent work [1] has shown that lip-reading …
Multimodal audio-visual information fusion using canonical-correlated graph neural network for energy-efficient speech enhancement
This paper proposes a novel multimodal self-supervised architecture for energy-efficient
audio-visual (AV) speech enhancement that integrates Graph Neural Networks with …
audio-visual (AV) speech enhancement that integrates Graph Neural Networks with …
Rating of Modern Color Image Cryptography: A Next‐Generation Computing Perspective
Issues such as inefficient encryption architectures, nonstandard formats of image datasets,
weak randomness of chaos‐based Pseudorandom Number Generators (PRNGs), omitted S …
weak randomness of chaos‐based Pseudorandom Number Generators (PRNGs), omitted S …
Unlocking the potential of two-point cells for energy-efficient and resilient training of deep nets
Context-sensitive two-point layer 5 pyramidal cells (L5PCs) were discovered as long ago as
1999. However, the potential of this discovery to provide useful neural computation has yet …
1999. However, the potential of this discovery to provide useful neural computation has yet …
Speech reconstruction with reminiscent sound via visual voice memory
The goal of this work is to reconstruct speech from silent video, in both speaker dependent
and independent ways. Unlike previous works that have been mostly restricted to a speaker …
and independent ways. Unlike previous works that have been mostly restricted to a speaker …
Design of secure cryptosystem based on chaotic components and AES S-Box
Z Qiao, S El Assad, I Taralova - AEU-International Journal of Electronics …, 2020 - Elsevier
In this paper, we design, realize and evaluate a new secure cryptosystem based on a
Pseudo-Chaotic Number Generator (PCNG), a global diffusion and a block cipher in Cipher …
Pseudo-Chaotic Number Generator (PCNG), a global diffusion and a block cipher in Cipher …
Mobility prediction-based optimisation and encryption of passenger traffic-flows using machine learning
Information and Communication Technology (ICT) enabled optimisation of train's passenger
traffic flows is a key consideration of transportation under Smart City planning (SCP) …
traffic flows is a key consideration of transportation under Smart City planning (SCP) …