… on communication systems from the semantic level. Particularly, we propose a deep learning
based semantic communication system, … the system capacity and minimizing the semantic …

… a new neural network-based semantic communication system … The system consists of two
main parts, namely the semantic … extract and transmit the semantic information using a receiver…

… Abstract—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 …

… signals in the semantic communication systems, which minimizes the error at the semantic
level rather … Particularly, we design a deep learning (DL)-enabled semantic communication …

… Abstract—We consider a semantic communication system for … in deep learning (DL), we
make an effort to recover the transmitted speech signals in the semantic communication systems, …

… preserves semantic information of sentences. Later, the authors of [7] design an … learning
(RL) based semantic communication system to deal with the non-differentiability of semantic met…

… much richer semantics, the design of multimedia semantic communication system is crucial.
Inspired by these factors, this work designs a GANsbased semantic communication system …

… individual signal processing block by a deep neural network (DNN) [13]. … ) communication
system has been proposed to merge the signal processing blocks in traditional communication …

… , an overview of the latest deep learning (DL) and end-to-end (E2E) communication based
… only physical channel noise, but also semantic noise in a semantic communication system. …

… to five years when machine learning-based calculation… semantic communication system,
we provide some examples on the sentence-based model in Table 1. The same neural network …