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Fine-grained Noise Control for Multispeaker Speech Synthesis
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Fine-grained Noise Control for Multispeaker Speech Synthesis

Karolos Nikitaras
G. Vamvoukakis
Nikolaos Ellinas
Konstantinos Klapsas
K. Markopoulos
S. Raptis
June Sig Sung
Gunu Jho
Aimilios Chalamandaris
Pirros Tsiakoulis
ArXiv (abs)PDFHTML

Papers citing "Fine-grained Noise Control for Multispeaker Speech Synthesis"

4 / 4 papers shown
Title
TTSOps: A Closed-Loop Corpus Optimization Framework for Training Multi-Speaker TTS Models from Dark Data
TTSOps: A Closed-Loop Corpus Optimization Framework for Training Multi-Speaker TTS Models from Dark Data
Kentaro Seki
Shinnosuke Takamichi
Takaaki Saeki
Hiroshi Saruwatari
36
0
0
18 Jun 2025
Noise-robust zero-shot text-to-speech synthesis conditioned on self-supervised speech-representation model with adapters
Noise-robust zero-shot text-to-speech synthesis conditioned on self-supervised speech-representation model with adapters
Kenichi Fujita
Hiroshi Sato
Takanori Ashihara
Hiroki Kanagawa
Marc Delcroix
Takafumi Moriya
Yusuke Ijima
74
9
0
10 Jan 2024
NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for Noise-robust Expressive TTS
NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for Noise-robust Expressive TTS
Dongchao Yang
Songxiang Liu
Jianwei Yu
Helin Wang
Chao Weng
Yuexian Zou
DiffMVLM
85
18
0
04 Nov 2022
Text-to-speech synthesis from dark data with evaluation-in-the-loop data selection
Text-to-speech synthesis from dark data with evaluation-in-the-loop data selection
Kentaro Seki
Shinnosuke Takamichi
Takaaki Saeki
Hiroshi Saruwatari
95
8
0
26 Oct 2022

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