Read it to me: An emotionally aware Speech Narration Application
September 06, 2022 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Rishibha Bansal
arXiv ID
2209.02785
Category
cs.SD: Sound
Cross-listed
cs.CL,
cs.LG,
eess.AS
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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