Read it to me: An emotionally aware Speech Narration Application

September 06, 2022 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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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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