… into different semantic segments by universal semantic knowledge. … -based semantic
integration (ASI) to weigh the semantic … of speech recognition tasks and non-content recognition …

… for real-time speech recognition and semantic parsing of ATC voice communications. Case
studies … The standard speech recognition metric of word error rate was calculated as well as …

… of the classic communication-theoretic framework, in this article, we present a view of semantic
communication (SemCom) and conveying meaning through the communication systems. …

… to the traditional communication systems. In traditional communication systems, the speech
… receiver with automatic speech recognition (ASR) module [85] or the speech signals are first …

… Finally, we introduce a novel approach to semantic communication, which we term contextbased
semantic communication. Inspired by the way in which humans naturally communicate …

… ] have developed the speech recognitionoriented semantic communication, named
DeepSC-SR, in which the transmitter sends the speech signal and the receiver restores the text …

… In semantic communications, DL is used to extract the semantic information from the …
semantic level is implicitly contained in the trained parameters. DL-based semantic communication …

… typical applications of speech semantics are speech recognition human interaction systems,
speechto-… speech recognition have completely changed the original technical framework of …

… speech recognition-oriented semantic communications, named, DeepSC-SR, to directly
recognize the speech … The prior works explore the possibility of semantic communications for …

… For example, adding visual capture of lip movements can help improve the accuracy of
speech recognition in a crowded and noisy environment. However, most current defenses are for …