Detecting emotions in samples of voice and trying to figure out the audio/voice features which most affect the perception of emotions in voice.
- Collected voice samples with happy, sad and angry emotions.
- Converted wav files to csv files with the script convert_wav_to_csv.py.
- Imported data in the training notebook.
- Designed emotion detection features in features.py.
- Train the Decision Tree Classifier on the windows of imported data.
Harsh Jain
Naman Ranawat
Siddhanth Satish