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20172024
most citedJSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis

88 citations · 308 across the 88 of their papers we have counts for

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Showing 2022Show all

24 papers · 1 filter

cs.SD2022

Improving Speech Prosody of Audiobook Text-to-Speech Synthesis with Acoustic and Textual Contexts

Detai Xin, Sharath Adavanne, Federico Ang +3

We present a multi-speaker Japanese audiobook text-to-speech (TTS) system that leverages multimodal context information of preceding acoustic context and bilateral textual context…

eess.AS2022★ 8 cited

JaCappella Corpus: A Japanese a Cappella Vocal Ensemble Corpus

Tomohiko Nakamura, Shinnosuke Takamichi, Naoko Tanji +2

We construct a corpus of Japanese a cappella vocal ensembles (jaCappella corpus) for vocal ensemble separation and synthesis. It consists of 35 copyright-cleared vocal ensemble son…

cs.SD2022

Text-to-speech synthesis from dark data with evaluation-in-the-loop data selection

Kentaro Seki, Shinnosuke Takamichi, Takaaki Saeki +1

This paper proposes a method for selecting training data for text-to-speech (TTS) synthesis from dark data. TTS models are typically trained on high-quality speech corpora that cos…

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

Visual onoma-to-wave: environmental sound synthesis from visual onomatopoeias and sound-source images

Hien Ohnaka, Shinnosuke Takamichi, Keisuke Imoto +3

We propose a method for synthesizing environmental sounds from visually represented onomatopoeias and sound sources. An onomatopoeia is a word that imitates a sound structure, i.e.…

cs.SD2022

Improving robustness of spontaneous speech synthesis with linguistic speech regularization and pseudo-filled-pause insertion

Yuta Matsunaga, Takaaki Saeki, Shinnosuke Takamichi +1

We present a training method with linguistic speech regularization that improves the robustness of spontaneous speech synthesis methods with filled pause (FP) insertion. Spontaneou…