AIbase
Product LibraryTool Navigation

EmotionRecognition

Public

Emotion Recognition in Speech: This project leverages advanced machine learning techniques to classify emotions from speech using the Toronto Emotional Speech Set (TESS). By extracting Mel-Frequency Cepstral Coefficients (MFCC) and utilizing an LSTM-based deep learning model, the project accurately identifies emotions like anger, happiness, and sad

Creat2024-08-23T23:57:26
Update2024-04-05T12:22:33
0
Stars
0
Stars Increase