Voice Cloning in Real Time
Varad Naik, Aaron Mendes, Saili Kulkarni, Saiesh Naik, Saiesh Prabhu Verlekar · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: Deep learning models for natural voice cloning methods were first developed in 2016, and since then, the researchers' main attention has been on making the voice more realistic and obtaining the output voice in real time. Previously it used to take many hours of voice samples to clone a few seconds. It was decreased to a few seconds after utilizing deep learning models. We shall look at various voice cloning techniques in this paper. Multi-speaker generative models, speaker adoption, speaker encoding, vector quantization, and other techniques are among them