  In this work we try to perform emotional style transfer on audios. In
particular, MelGAN-VC architecture is explored for various emotion-pair
transfers. The generated audio is then classified using an LSTM-based emotion
classifier for audio. We find that "sad" audio is generated well as compared to
"happy" or "anger" as people have similar expressions of sadness.
