Search Results for author: Katsuya Uenoyama

Found 1 papers, 1 papers with code

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

21 code implementations24 Oct 2017 Hideyuki Tachibana, Katsuya Uenoyama, Shunsuke Aihara

This paper describes a novel text-to-speech (TTS) technique based on deep convolutional neural networks (CNN), without use of any recurrent units.

Text-To-Speech Synthesis

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