… In our considered semantic communication system with the … semantic communication
framework to solve the two challenges above. There are two goals in this semantic communication …

… speech semantic communication method. Specifically, we employ an end-to-end
communication approach to transmit the source speech and obtain the reconstructed speech at the …

… (S, NL), where F(·) is a noise-adding function simulating the expression habits of users or
vulnerable AI-assisted transmission environment, such as a speech recognition system. Literal …

… this paper, the semantic communication system aims to reconstruct speech signals. Therefore…
Liu, and GY Li, “Deep learning enabled semantic communications with speech recognition …

… -to-end semantic communication system for speech signals that uses … semantic speech
transmission. The transceiver extracts and encodes semantic information for speech recognition …

… semantic communication-based end-to-end communication systems. In this study, we have
implemented a semantic communication… in developing semantic communication systems in …

… The semantic encoder and decoder of SEECAD are built … semantic error transmission and
enhance the segmentation accuracy at the receiver. Our proposed semantic communication …

… Natural language processing (NLP), speech recognition, … semantic communication design
in such sensing scenarios is crucial for seamless system integration. As we know, semantics is …

… of semantic information theory (SIT). We investigate the behavior of semantic communication
… define the synonymous mapping between semantic information and syntactic information. …

… When that match occurs, we define the semantic-enriched speech recognition as valid
and we update the local context knowledge base accordingly, otherwise we discard it. For …