Open AccessSentiment Perception in Articulation
Author(s) -
Ganesh NagaVenkataSai Mohan Kancherla
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.36973
Subject(s) - perception , articulation (sociology) , emotion detection , computer science , perceptron , anxiety , speech recognition , place of articulation , artificial intelligence , cognitive psychology , convolution (computer science) , psychology , natural language processing , artificial neural network , emotion recognition , consonant , vowel , neuroscience , psychiatry , politics , political science , law
Emotion is quite prevalent aspect in daily life. Every individual has a inequity levels of anxiety in the finding the concealed emotion present in a speech or talk. So we had decided to procreate a new methodology in which every emotion which is present in a speech can be detected. The system we developed can detect any emotion with a great extent of efficiency. Any type of emotion will be detected using Machine learning algorithms in a effective way. We will utilize Multi-Layer Perceptron in the initial stage and then we will compare this with working model of Convolution Neural Networks. We want to develop an Artificial Intelligence perception system which leads to detection of emotion in any articulation