In this repository deep-learning techniques are applied to classify emotions in the audio domain. Concretelly, 7 cardinal emotions are going to be classified: anger,disgust, fear, happinnes, neutral,surprise and sadness. To build the application, this tasks are followed in order:
- Load audio files
- Data visualization
- Data normalization. (Optimization, augmentation...)
- Neural net model.