most citedText-To-Speech Synthesis In The Wild

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2024

SpoofCeleb: Speech Deepfake Detection and SASV In The Wild

Jee-weon Jung, Yihan Wu, Xin Wang +11

This paper introduces SpoofCeleb, a dataset designed for Speech Deepfake Detection (SDD) and Spoofing-robust Automatic Speaker Verification (SASV), utilizing source data from real-…

eess.AS2024★ 1 cited

Text-To-Speech Synthesis In The Wild

Jee-weon Jung, Wangyou Zhang, Soumi Maiti +11

Traditional Text-to-Speech (TTS) systems rely on studio-quality speech recorded in controlled settings.a Recently, an effort known as noisy-TTS training has emerged, aiming to util…

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…

cs.SD2022

Empirical Study Incorporating Linguistic Knowledge on Filled Pauses for Personalized Spontaneous Speech Synthesis

Yuta Matsunaga, Takaaki Saeki, Shinnosuke Takamichi +1

We present a comprehensive empirical study for personalized spontaneous speech synthesis on the basis of linguistic knowledge. With the advent of voice cloning for reading-style sp…

cs.SD2022

Personalized Filled-pause Generation with Group-wise Prediction Models

Yuta Matsunaga, Takaaki Saeki, Shinnosuke Takamichi +1

In this paper, we propose a method to generate personalized filled pauses (FPs) with group-wise prediction models. Compared with fluent text generation, disfluent text generation h…