activity
20172024
most citedJVS corpus: free Japanese multi-speaker voice corpus

41 citations · 100 across the 25 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.SD2022

Mid-attribute speaker generation using optimal-transport-based interpolation of Gaussian mixture models

Aya Watanabe, Shinnosuke Takamichi, Yuki Saito +2

In this paper, we propose a method for intermediating multiple speakers' attributes and diversifying their voice characteristics in ``speaker generation,'' an emerging task that ai…

cs.SD2022

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

Yusuke Nakai, Yuki Saito, Kenta Udagawa +1

We propose a novel training algorithm for a multi-speaker neural text-to-speech (TTS) model based on multi-task adversarial training. A conventional generative adversarial network…

cs.SD2022

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

Kenta Udagawa, Yuki Saito, Hiroshi Saruwatari

This paper proposes a human-in-the-loop speaker-adaptation method for multi-speaker text-to-speech. With a conventional speaker-adaptation method, a target speaker's embedding vect…

cs.SD2022

Acoustic Modeling for End-to-End Empathetic Dialogue Speech Synthesis Using Linguistic and Prosodic Contexts of Dialogue History

Yuto Nishimura, Yuki Saito, Shinnosuke Takamichi +2

We propose an end-to-end empathetic dialogue speech synthesis (DSS) model that considers both the linguistic and prosodic contexts of dialogue history. Empathy is the active attemp…

cs.SD2022

STUDIES: Corpus of Japanese Empathetic Dialogue Speech Towards Friendly Voice Agent

Yuki Saito, Yuto Nishimura, Shinnosuke Takamichi +2

We present STUDIES, a new speech corpus for developing a voice agent that can speak in a friendly manner. Humans naturally control their speech prosody to empathize with each other…