  We introduce the first unsupervised speech synthesis system based on a
simple, yet effective recipe. The framework leverages recent work in
unsupervised speech recognition as well as existing neural-based speech
synthesis. Using only unlabeled speech audio and unlabeled text as well as a
lexicon, our method enables speech synthesis without the need for a
human-labeled corpus. Experiments demonstrate the unsupervised system can
synthesize speech similar to a supervised counterpart in terms of naturalness
and intelligibility measured by human evaluation.
