Authors :
Abhijeet Kalluray; Ankita Deshmukh; Rutuja Pacharne; Akash Sambhudas; Mr. Nikhil Dhavase
Volume/Issue :
Volume 6 - 2021, Issue 6 - June
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/2U6OuIK
Abstract :
As technology has developed so has our
methods of interacting with them. Voice Interaction has
become a major field in Human Computer Interaction.
Today, we can successfully use our voice to give
commands to different software. This is achieved using
Natural Language Processing (NLP), i.e., the linguistic
aspect. In this paper, we try to understand if the acoustic
approach can be used for emotion recognition. Here, we
use the sound waves from human voices to analyze the
underlying tone of the speaker and classify it according to
their emotion. This paper compares between different
features extraction techniques of the audio and compares
how different feature extraction techniques perform
individually and together on audio data.
As technology has developed so has our
methods of interacting with them. Voice Interaction has
become a major field in Human Computer Interaction.
Today, we can successfully use our voice to give
commands to different software. This is achieved using
Natural Language Processing (NLP), i.e., the linguistic
aspect. In this paper, we try to understand if the acoustic
approach can be used for emotion recognition. Here, we
use the sound waves from human voices to analyze the
underlying tone of the speaker and classify it according to
their emotion. This paper compares between different
features extraction techniques of the audio and compares
how different feature extraction techniques perform
individually and together on audio data.
