In this paper, we propose a new class of high-efficiency semantic coded transmission
methods to realize end-to-end speech transmission over wireless channels. We name the …

Semantic communication has become a widely researched area due to its high spectrum
efficiency and error correction capabilities. Some studies used deep learning to extract …

Recently, there has been a growing interest in learning-based semantic communication
because it can prioritize the preservation of meaningful semantic information over the …

Semantic communication has witnessed a great progress with the development of natural
language processing (NLP) and deep learning (DL). Although existing semantic …

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

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 …

Joint source and channel coding (JSCC) for image transmission has attracted increasing
attention due to its robustness and high efficiency. However, the existing deep JSCC …

Although analog semantic communication systems have received considerable attention in
the literature, there is less work on digital semantic communication systems. In this letter, we …

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

Recently, the ever-increasing demand for bandwidth in multi-modal communication systems
requires a paradigm shift. Powered by deep learning, semantic communications are applied …