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Training Text-To-Speech Systems From Synthetic Data: A Practical
  Approach For Accent Transfer Tasks

Training Text-To-Speech Systems From Synthetic Data: A Practical Approach For Accent Transfer Tasks

28 August 2022
L. Finkelstein
Heiga Zen
Norman Casagrande
Chun-an Chan
Ye Jia
Tom Kenter
Alexey Petelin
Jonathan Shen
V. Wan
Yu Zhang
Yonghui Wu
R. Clark
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Papers citing "Training Text-To-Speech Systems From Synthetic Data: A Practical Approach For Accent Transfer Tasks"

4 / 4 papers shown
Title
MacST: Multi-Accent Speech Synthesis via Text Transliteration for Accent Conversion
MacST: Multi-Accent Speech Synthesis via Text Transliteration for Accent Conversion
Sho Inoue
Shuai Wang
Wanxing Wang
Pengcheng Zhu
Mengxiao Bi
Haizhou Li
39
2
0
14 Sep 2024
Parameter-Efficient Learning for Text-to-Speech Accent Adaptation
Parameter-Efficient Learning for Text-to-Speech Accent Adaptation
Lijie Yang
Chao-Han Huck Yang
Jen-Tzung Chien
27
11
0
18 May 2023
Modelling low-resource accents without accent-specific TTS frontend
Modelling low-resource accents without accent-specific TTS frontend
Georgi Tinchev
Marta Czarnowska
Kamil Deja
K. Yanagisawa
Marius Cotescu
37
4
0
11 Jan 2023
Transfer Learning from Speaker Verification to Multispeaker
  Text-To-Speech Synthesis
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Ye Jia
Yu Zhang
Ron J. Weiss
Quan Wang
Jonathan Shen
...
Zhehuai Chen
Patrick Nguyen
Ruoming Pang
Ignacio López Moreno
Yonghui Wu
207
821
0
12 Jun 2018
1