ISSN:2582-5208

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Paper Key : IRJ************499
Author: Anshul Sharma
Date Published: 21 Jan 2023
Abstract
. Emotion detection classification may contribute in making Emotion recognition process more accurate. It appears that automated emotional speech classification will soon replace man-machine interaction. An emotion classification framework is intended to distinguish the emotional state being experienced by the speaker. The emphasis is generally on how something is expressed, not what is expressed. In addition to approaches focusing only on analysing the speaker's voice, a variety of methods can be used to identify emotional states. Some approaches include analysis of voice and spoken words while others focus only on facial expressions. Some people study the brain's reactions to various emotional states. The emotional states will inevitably be a part of human-computer interaction given recent technological advances and expanding study fields including machine learning (ML), audio processing, and speech processing.
DOI LINK : 10.56726/IRJMETS33027 https://www.doi.org/10.56726/IRJMETS33027
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