no code implementations • 13 May 2024 • Zhenzi Weng, Zhijin Qin, Huiqiang Xie, Xiaoming Tao, Khaled B. Letaief
Particularly, a semantic communication system to serve the speech-to-text task at the receiver is first designed, which compresses the semantic information and generates the low-dimensional semantic features by leveraging the transformer module.
no code implementations • 8 Mar 2024 • Zhenzi Weng, Zhijin Qin
In this paper, we propose a robust semantic communication system for speech transmission, named Ross-S2T, by delivering the essential semantic information.
Generative Adversarial Network Speech-to-Text Translation +1
1 code implementation • 9 May 2022 • Zhenzi Weng, Zhijin Qin, Xiaoming Tao, Chengkang Pan, Guangyi Liu, Geoffrey Ye Li
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 transmission tasks of the communication system, respectively.
no code implementations • 22 Jul 2021 • 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.
no code implementations • 24 Feb 2021 • Zhenzi Weng, Zhijin Qin
In order to improve the recovery accuracy of speech signals, especially for the essential information, DeepSC-S is developed based on an attention mechanism by utilizing a squeeze-and-excitation (SE) network.
no code implementations • 9 Dec 2020 • Zhenzi Weng, Zhijin Qin, Geoffrey Ye Li
We consider a semantic communication system for speech signals, named DeepSC-S.