• M. Lakshmi Sai
• D. V. S. Praneeth
• G. Yamini
• L. Anuja
• G. Saraswathi

Developers use human-system interactions frequently these days. Speech is a common technology that is used for interacting with people. It offers a channel to convey one's thoughts or emotional condition to others. However, a very important task in interactions between people and technology is their failure to recognize emotions in speech. Speech Emotion Recognition (SER) analyses the speaker's emotions through their speech module. Any machine with a small amount of processing capacity when necessary, can identify common feelings including joy, sorrow, rage, fear, disbelief, and neutrality. The system develops a special challenge to take input from users and presents the emotional state using dataset like RAVDESS, TESS, and Emotional-DB for training as well as testing the efficiency of the device.

"Emotion Detection Based on Speech using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.k749-k760, March-2024, Available :http://www.jetir.org/papers/JETIR2403A99.pdf

"Emotion Detection Based on Speech using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppk749-k760, March-2024, Available at : http://www.jetir.org/papers/JETIR2403A99.pdf