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On the Problem of Text-To-Speech Model Selection for Synthetic Data
  Generation in Automatic Speech Recognition

On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognition

31 July 2024
Nick Rossenbach
Ralf Schluter
S. Sakti
ArXivPDFHTML

Papers citing "On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognition"

3 / 3 papers shown
Title
Enhancing Low-Resource ASR through Versatile TTS: Bridging the Data Gap
Enhancing Low-Resource ASR through Versatile TTS: Bridging the Data Gap
Guanrou Yang
Fan Yu
Z. Ma
Zhihao Du
Zhifu Gao
Shiliang Zhang
Xie Chen
27
1
0
22 Oct 2024
Beyond Oversmoothing: Evaluating DDPM and MSE for Scalable Speech
  Synthesis in ASR
Beyond Oversmoothing: Evaluating DDPM and MSE for Scalable Speech Synthesis in ASR
Christoph Minixhofer
Ondˇrej Klejch
Peter Bell
24
0
0
16 Oct 2024
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
49
42
0
21 Oct 2021
1