<aside> 💡 In this tutorial, we will explore the basics of voice conversion, its various applications, and the underlying concepts and techniques that make it possible. We will delve into the background and basics, and then discuss the concept of any-to-any voice conversion. Finally, we will examine voice conversion with electromyography (EMG) signals and EMG-to-speech using disentangled representations.
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<aside> 🗣️ This tutorial focuses on any-to-any voice conversion since it’s the most demanding case for applications. We will mainly be assuming that the training data is unparallel, meaning that speakers from the training data may not all have the same spoken contents, considering the scarcity of paired data.
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