Search Results for author: Kenta Udagawa

Found 2 papers, 0 papers with code

Multi-Task Adversarial Training Algorithm for Multi-Speaker Neural Text-to-Speech

no code implementations26 Sep 2022 Yusuke Nakai, Yuki Saito, Kenta Udagawa, Hiroshi Saruwatari

A conventional generative adversarial network (GAN)-based training algorithm significantly improves the quality of synthetic speech by reducing the statistical difference between natural and synthetic speech.

Generative Adversarial Network

Human-in-the-loop Speaker Adaptation for DNN-based Multi-speaker TTS

no code implementations21 Jun 2022 Kenta Udagawa, Yuki Saito, Hiroshi Saruwatari

With a conventional speaker-adaptation method, a target speaker's embedding vector is extracted from his/her reference speech using a speaker encoder trained on a speaker-discriminative task.

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