Integration of ML Layer with GBC based Classifier for Better Recognition of Voice in Mobile

People can express their feelings through words and sentences in different languages during a speech. Spoken language frequently contains feelings including surprise, fear, indifference, contempt, fury, grief, and happiness. This essay explores the topic of identifying these feelings in speech. We performed an investigation to identify and categorize emotions present in speech by utilising machine learning methods, such as random forest, additional trees, gradient boosting, decision tree, and light gradient boosting classifiers. We were able to acquire informative findings by using the previously specified classifiers along with datasets.