Abstract: I suggest an Among the most fundamental forms of self-expression is speech, which may convey a variety of feelings, including excitement, tranquility, joy, and rage, to mention a few. It is feasible to rearrange our activities, services, and even products in order to give each person a more customized experience customer by evaluating the emotions that underlie communication. The intention of this project is to recognize and extract various human speech sound files' emotions. to use Python to accomplish something similar. Python and a number of specialist libraries, such as Librosa, Sound File, NumPy, Scikit-learn, and PyAudio, will be used to accomplish this. These initiatives provide the features required for machine learning, feature extraction, and audio processing
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