Abstract
Speech recognition is a multidisciplinary branch of natural language processing (NLP) that allows machines to recognize and translate spoken language into text. Speech recognition is crucial in the digital transformation process and it is widely employed in a variety of fields, such as education, industry, and healthcare, and has lately been employed in a number of Internet of Things (IoT) applications. Speech is a simple and effective method for human communication, but nowadays we are not only connected to one another, but also to the various devices in our lives. As a result, this kind of communication can be used by both computers and people. Interfaces are used to carry out the interaction, which is referred to as Human Computer Interaction (HCI). This paper provides an outline of the key areas of Automatic Speech Recognition (ASR), an important topic in artificial intelligence. It also includes an overview of recent major research in speech processing, as well as a basic idea of our proposal that may be considered as a major contribution to this field of research. The paper also refers to some specific enhancements that can add value to the researchers in future.
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