… For the communications in Indian language … speech recognition is the necessity of the
citizens of our country. There are several applications in which automatic Hindi speech recognition …

… up of the semanticsempowered communication (SemCom) … ” and “why” questions in semantic
transmissions. Afterwards, we … as to evaluate the accuracy of speech recognition [119]. On …

… According to form of the input, algorithms in AI can be adopted, for example, automatic speech
recognition (ASR) for speech. Then the basic symbols are further abstracted to reduce the …

… The authors of [9] designed speech recognition-oriented semantic communications to
directly recognize the speech signals in texts. More recently, a transformer-based approach has …

… semantics is most commonly used in speech recognition and human-computer interaction
systems, as well as speech… The initial technological framework of the voice recognition system, …

… performs the DL based semantic communication (DeepSC) … a lite distributed semantic
communication system based on … cloud/edge works at the semantic level to improve transmission …

… A different DNN called DeepSC-SR was also proposed for speech recognition, where
character-errorrate (CER) and word-error-rate (WER) were investigated as the most appropriate …

… The transmission of speech signals can benefit from the incorporation of NLP tools and
the incorporation of a speech recognition step that translates speech into text. The automatic …

… in [34–36] is utilized to complete the automatic post-editing (APE) task, improve the text
generation task and improve the performance of automatic speech recognition task, respectively. …

… Section VI reviews some of the open challenges in the context of Semantic Communications,
and, finally, in Section VII, the conclusions drawn from this work are presented. …