Semantic Communication
42 papers with code • 0 benchmarks • 1 datasets
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Most implemented papers
Deep Image Semantic Communication Model for Artificial Intelligent Internet of Things
meatery/semantic-segmentation
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Particularly, at the transmitter side, a high-precision image semantic segmentation algorithm is proposed to extract the semantic information of the image to achieve significant compression of the image data.
Deep Learning Enabled Semantic Communication Systems
13274086/DeepSC
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To justify the performance of semantic communications accurately, we also initialize a new metric, named sentence similarity.
A Lite Distributed Semantic Communication System for Internet of Things
To make it affordable for IoT devices, we propose a lite distributed semantic communication system based on DL, named L-DeepSC, for text transmission with low complexity, where the data transmission from the IoT devices to the cloud/edge works at the semantic level to improve transmission efficiency.
Semantic Communication Systems for Speech Transmission
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.
Task-Oriented Multi-User Semantic Communications for VQA Task
In this letter, we consider a task-oriented multi-user semantic communication system for multimodal data transmission.
Reinforcement Learning-powered Semantic Communication via Semantic Similarity
We introduce a new semantic communication mechanism - SemanticRL, whose key idea is to preserve the semantic information instead of strictly securing the bit-level precision.
Resource allocation for text semantic communications
Semantic communications have shown its great potential to improve the transmission reliability, especially in the low signal-to-noise regime.
Semantic Information Recovery in Wireless Networks
Thus, we model semantics by means of hidden random variables and define the semantic communication task as the data-reduced and reliable transmission of messages over a communication channel such that semantics is best preserved.
Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data
sjtu-mxtao/semantic-communication-systems
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In practice, the semantic information is defined by the pragmatic task of the receiver and cannot be known to the transmitter.
Deep Learning Enabled Semantic Communications with Speech Recognition and Synthesis
zhenzi-weng/deepsc-st_demonstration
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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.
