Paper Contents
Abstract
Emotions play a crucial role in human communication and interactions. The ability to detect and understand emotions from speech is of great importance in various domains such as affective computing, human-computer interaction, and mental health analysis. This research paper presents a comprehensive study on speech emotion detection systems, aiming to explore their significance, methodologies, challenges, and applications. We propose a novel system that leverages state-of-the-art techniques for improved emotion recognition. Through an extensive analysis and evaluation, we demonstrate the effectiveness and potential impact of our proposed system. Additionally, we discuss future research directions and potential advancements in the field.
Copyright
Copyright © 2023 Karunesh Pati Tiwari. This is an open access article distributed under the Creative Commons Attribution License.
