• Deepak Choudhary
• Nitesh Kumar Sah

Understanding human emotions using speech analysis is a field of research that aims to enable machines to understand and respond to human emotions. This approach involves using machine learning to extract features from spoken characters and classify them into different categories. The aim is to create accurate and reliable emotional intelligence that can be used in many applications such as medicine, education and entertainment. To achieve this goal, many challenges need to be addressed, including addressing the personal differences between speech and thought, handling loud and complex information, and ensuring the privacy and security of the user. Despite these challenges, recent advances in speech and machine learning have been shown to be useful in understanding human speech perception

perception, cognitive, psychiatry, validation, extraction

"Recognize Human Emotions Using Analysis of Speech", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.b671-b675, May-2023, Available :http://www.jetir.org/papers/JETIR2305187.pdf

"Recognize Human Emotions Using Analysis of Speech", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppb671-b675, May-2023, Available at : http://www.jetir.org/papers/JETIR2305187.pdf