Advanced Model Implementation to Recognize Emotion Based Speech with Machine Learning

Emotions are essential in developing interpersonal relationships. make emphasizing with others’ problems easy and leads to better communication without misunderstandings. Humans possess the natural ability of understanding emotions from their speech, hand gestures, facial expressions etc react accordingly but, it is impossible for machines extract understand unless they trained do so. Speech Emotion Recognition one step towards it, SER uses ML algorithms forecast emotion behind a speech. The features which include MEL, MFCC, Chroma set audio parts extracted using python libraries used build model. An MLP (Multi-Layer Perceptron) will be mapping along sound file predicts emotion. project details more about development deployment A technique known as "Speech Recognition" could identify emotional characteristics speech signals by computer contrasts analysis parameters change acquired. In current market, recognition was emerging crossing field artificial Intelligence.