  In this paper, we propose a model which can generate a singing voice from
normal speech utterance by harnessing zero-shot, many-to-many style transfer
learning. Our goal is to give anyone the opportunity to sing any song in a
timely manner. We present a system comprising several available blocks, as well
as a modified auto-encoder, and show how this highly-complex challenge can be
achieved by tailoring rather simple solutions together. We demonstrate the
applicability of the proposed system using a group of 25 non-expert listeners.
Samples of the data generated from our model are provided.
