International Journal of Advanced Science and Engineering Research
For Queries/Clarification
alameenpublications@gmail.com
e-ISSN 2455-9288
alameenpublications@gmail.com
e-ISSN 2455-9288
ijaser
IJASER publishes high-quality, original research papers, brief reports, and critical reviews in all theoretical, technological, and interdisciplinary studies that make up the fields of advanced science and engineering and its applications.
Emotion analysis is a crucial area today in psychology, neuroscience, and artificial intelligence. It plays an important role in extracting meaning from spoken or speech signals. Speech recognition enables the identification of the speaker, their emotional state, the content of their speech, and other pertinent aspects. This system for speech emotion analysis is introduced to receive an audio input through the recognition methods and thereby identify the corresponding emotions with utmost accuracy. The system further processes the same input for training four models, with the acoustic features spanning eight different classes of emotions: anger, sadness, fear, happiness, surprise, neutral, calm, and disgust. The design goal is that it should improve the working of the emotion recognition system in machine learning and deep learning. Such improvements can be very useful for many applications, such as human-computer interaction, mental and physical health monitoring, and smart assisting devices.