SPEECH EMOTION RECOGNITION USING CNN-LSTM

-Speech emotion recognition is a rapidly growing field of research that aims to automatically identify emotions from speech signals. This paper presents using machine learning techniques. The study begins by providing an overview the various approaches used in recognition, including feature extraction, selection, and classification. These selected features like pitch, MFCC are compared with existing datasets databases. baased on audios classified CNN LSTM algorithm. model trained free environments collab Python, for User interface HTML, CSS used. Key Words: Speech Emotion, MelFrequency Cepstral Coefficient, CNN,