Speech Emotion Recognition, abbreviated as SER, is the act of attempting to recognize human emotion and affective states from speech. This is capitalizing on the fact that voice often reflects underlying emotion through tone and pitch. This is also the phenomenon that animals like dogs and horses employ to be able to understand human emotion.
SER is tough because emotions are subjective and annotating audio is challenging.
- Clone the Master branch
- Go to Client directory and run "pip3 "+ :
- librosa==0.6.3
- numpy
- soundfile==0.9.0
- sklearn
- pyaudio==0.2.11
- run project and Enjoy ;)
- Python
- Jupyter
Created by Argoubi Sofien.
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