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On the Effect of Purely Synthetic Training Data for Different Automatic
  Speech Recognition Architectures

On the Effect of Purely Synthetic Training Data for Different Automatic Speech Recognition Architectures

25 July 2024
Nick Rossenbach
Benedikt Hilmes
Ralf Schluter
ArXivPDFHTML

Papers citing "On the Effect of Purely Synthetic Training Data for Different Automatic Speech Recognition Architectures"

2 / 2 papers shown
Title
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition
Ting-Yao Hu
Mohammadreza Armandpour
A. Shrivastava
Jen-Hao Rick Chang
H. Koppula
Oncel Tuzel
SyDa
52
42
0
21 Oct 2021
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
...
Z. Chen
Patrick Nguyen
Ruoming Pang
Ignacio López Moreno
Yonghui Wu
207
820
0
12 Jun 2018
1