This project focuses on real-time Speech Emotion Recognition (SER) using the "ravdess-emotional-speech-audio" dataset. Leveraging essential libraries and Long Short-Term Memory (LSTM) networks, it processes diverse emotional states expressed in 1440 audio files. Professional actors ensure controlled representation, with 24 actors contributing
deep-learning
speech-recognition
lstm-neural-networks
emotion-recognition
mfcc-analysis
streamlit
ravdess-dataset
-
Updated
Jan 4, 2024 - HTML