Deep learning (DL) based semantic communication methods have been explored for the
efficient transmission of images, text, and speech in recent years. In contrast to traditional …

Semantic communications could improve the transmission efficiency significantly by
exploring the semantic information. In this paper, we make an effort to recover the …

In this paper, we develop a deep learning based semantic communication system for
speech transmission, named DeepSC-ST. We take the speech recognition and speech …

We consider a semantic communication system for speech signals, named DeepSC-S.
Motivated by the breakthroughs in deep learning (DL), we make an effort to recover the …

Recently, deep learned enabled end-to-end communication systems have been developed
to merge all physical layer blocks in the traditional communication systems, which make joint …

With the advent of the 6G era, the concept of semantic communication has attracted
increasing attention. Compared with conventional communication systems, semantic …

Existing deep learning-enabled semantic communication systems often rely on shared
background knowledge between the transmitter and receiver that includes empirical data …

Recently, semantic communication has been brought to the forefront because deep learning
(DL)-based methods, such as Transformer, have achieved great success in semantic …

In this work, we introduce a simple yet efficient post-processing model for automatic speech
recognition. Our model has Transformer-based encoder-decoder architecture which" …

While semantic communication succeeds in efficiently transmitting due to the strong
capability to extract the essential semantic information, it is still far from the intelligent or …