Prediction of Voice Sentiment using Machine Learning Technique

Sentiment Analysis or we can say the study of any person’s attitudes or their emotions for an event, discussion on any random thing. It has been evolving over the recent decades; mainly the work done in the past decades is in the area of text sentiment analysis with many text mining methods. But Voice sentimental analysis remains during a growing stage within the research communities. In this paper, we had performed a sentimental analysis on user’s voice to detect the emotions of the users. By using the Librosa python library we will perform speaker discrimination and sentiment analysis. Interpreting the mood of any person is very useful. Like, if computers gain the power to recognize and replying to human non-verbal discussion such as human feelings. In this situation, after recognizing a person’s feelings, the machine can change its own settings in accordance with user’s mood or emotion and preferences.