6 citations · 8 across the 7 of their papers we have counts for
7 papers
Large Model Empowered Streaming Speech Semantic Communications
Zhenzi Weng, Zhijin Qin, Geoffrey Ye Li
In this paper, we introduce a large model-empowered streaming semantic communication system for speech transmission across various languages, named LSSC-ST. Specifically, we devise…
Semantic MIMO Systems for Speech-to-Text Transmission
Zhenzi Weng, Zhijin Qin, Huiqiang Xie +2
Semantic communications have been utilized to execute numerous intelligent tasks by transmitting task-related semantic information instead of bits. In this article, we propose a se…
Robust Semantic Communications for Speech Transmission
Zhenzi Weng, Zhijin Qin, Geoffrey Ye Li
In this paper, we propose a robust semantic communication system for speech transmission, named Ross-S2T, by delivering the essential semantic information. Specifically, we conside…
Deep Learning Enabled Semantic Communications with Speech Recognition and Synthesis
Zhenzi Weng, Zhijin Qin, Xiaoming Tao +3
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 synthesis as the t…
Semantic Communications for Speech Recognition
Zhenzi Weng, Zhijin Qin, Geoffrey Ye Li
The traditional communications transmit all the source data represented by bits, regardless of the content of source and the semantic information required by the receiver. However,…
Semantic Communication Systems for Speech Transmission
Zhenzi Weng, Zhijin Qin
Semantic communications could improve the transmission efficiency significantly by exploring the semantic information. In this paper, we make an effort to recover the transmitted s…
Semantic Communications for Speech Signals
Zhenzi Weng, Zhijin Qin, Geoffrey Ye Li
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 transmitted s…