Photo responsive liquid crystal network based material with adaptive modulus for haptic application

PubDate: Dec 2022

Teams: Eindhoven University of Technology,Meta

Writers: Ievgen Kurylo, Joost van der Tol, Nicholas Colonnese, Dirk J. Broer, Danqing Liu

PDF: Photo responsive liquid crystal network based material with adaptive modulus for haptic application

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.