Machine Learning, Generative Model, Bayesian Machine Learning.
trained to sound like different speakers; the way this was done in the paper was simply by giving it 100 different speakers in the training set, and for each speaker, during training, giving the network access to a one-hot-encoded vector with a 1 in the position corresponding to that speaker’s ID.