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arXiv · 2204.02524

Simple and Effective Unsupervised Speech Synthesis

Alexander H. Liu·Cheng-I Jeff Lai·Wei-Ning Hsu·Michael Auli·Alexei Baevski·James Glass
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Abstract

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.

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Alexander H. Liu, Cheng-I Jeff Lai, Wei-Ning Hsu, Michael Auli, Alexei Baevski, James Glass. 2022-04-06. Simple and Effective Unsupervised Speech Synthesis. https://arxiv.org/abs/2204.02524

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