• Rutuparna Kudtarkar
• Bishal Nakoda
• Keyur Modh
• Nilambari Narkar

In recent years, the personal touch among people has been decreased and has been reducing furthermore due to Covid-19 pandemic. It has become much more difficult to understand what the other person might be emotionally going through. Emotions assume a critical role in human life. It is an instrument of explanation of one's point of view or one's mental state to other people. Emotions can be perceived from one’s body language, facial expressions and their voice. So, the primary objective for developing this system is to recognise the emotions a person is experiencing just from his/her speech. Thus, the aim is to create Speech Emotion Recognition by using CNN. Essentially, Speech Emotion Recognition can help to further develop a man-machine interface. Speech Emotion Recognition can be defined as extraction of the emotional state of the speaker from his or her speech signal. With the fruitful use of profound learning in the fields of picture and speech recognition, researchers have begun to attempt to utilize it in Speech Emotion Recognition and have proposed many profound learning-based Speech Emotion Recognition calculations. There are few universal emotions- such as Normal, Angry, Sad, Happy in which any intelligent framework with limited computational assets can be trained to distinguish as required. Speech Emotion Recognition can help to solve this particular problem statement by recognizing the emotions of a person by utilizing their vocal expression. Speech recognition, as one of the media of human-computer interaction, has gradually become the key with the progress and development of technology in that area.

CNN, Data augmentation, Speech Emotion Recognition.

"Human Emotion Detection and Identification using Voice Signals", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.e324-e337, April-2022, Available :http://www.jetir.org/papers/JETIR2204445.pdf

"Human Emotion Detection and Identification using Voice Signals", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppe324-e337, April-2022, Available at : http://www.jetir.org/papers/JETIR2204445.pdf