Deep source-channel coding for sentence semantic transmission with HARQ

P Jiang, CK Wen, S Jin, GY Li - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Recently, semantic communication has been brought to the forefront because deep learning
(DL)-based methods, such as Transformer, have achieved great success in semantic …

Semantic communication with adaptive universal transformer

Q Zhou, R Li, Z Zhao, C Peng… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
With the development of deep learning (DL), natural language processing (NLP) makes it
possible for us to analyze and understand a large amount of language texts. Accordingly, we …

Adaptive bit rate control in semantic communication with incremental knowledge-based HARQ

Q Zhou, R Li, Z Zhao, Y Xiao… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Semantic communication has witnessed a great progress with the development of natural
language processing (NLP) and deep learning (DL). Although existing semantic …

Deep joint source-channel coding for semantic communications

J Xu, TY Tung, B Ai, W Chen, Y Sun… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Semantic communications is considered a promising technology that will increase the
efficiency of next-generation communication systems, particularly human-machine and …

A robust deep learning enabled semantic communication system for text

X Peng, Z Qin, D Huang, X Tao, J Lu… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
With the advent of the 6G era, the concept of semantic communication has attracted
increasing attention. Compared with conventional communication systems, semantic …

Semantic communication with memory

H Xie, Z Qin, GY Li - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
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 …

Deep learning enabled semantic communication systems

H Xie, Z Qin, GY Li, BH Juang - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
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 …

Semantic communication systems for speech transmission

Z Weng, Z Qin - IEEE Journal on Selected Areas in …, 2021 - ieeexplore.ieee.org
Semantic communications could improve the transmission efficiency significantly by
exploring the semantic information. In this paper, we make an effort to recover the …

Semantic-preserved communication system for highly efficient speech transmission

T Han, Q Yang, Z Shi, S He… - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
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 …

Deep learning enabled semantic communications with speech recognition and synthesis

Z Weng, Z Qin, X Tao, C Pan, G Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …