Abstract

This research introduces an approach to Speech Processing which enables Natural Language Understanding (NLU) in order to enhance Human-Computer Interaction. Using deep learning algorithms, the approach allows for the recognition and understanding of speech from a human user. It is able to identify the words and the intent behind the phrase, enabling the processing of natural language into a meaningful form for the computer to act upon. Furthermore, the use of neural networks allows for a higher level of accuracy and accuracy over greater periods of time than other methods of speech processing. The approach is also both adaptive and flexible, allowing it to react to changes within a conversation and the user intentions. By understanding the human speech, this NLU approach has potential applications in various fields, such as automated dialogue systems, conversational chatbots, and interactive agents.