Virtual Singer

Virtual singer technology aims to create realistic and controllable singing voices, primarily focusing on generating high-quality audio from limited data. Current research emphasizes unsupervised and self-supervised learning methods, employing architectures like variational autoencoders and Conformers to model and manipulate various vocal characteristics (pitch, timbre, tempo) without extensive manual labeling. This field is significant for its potential applications in entertainment, music production, and human-computer interaction, offering innovative ways to create interactive musical experiences and personalized audio content.