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On the Relevance of Phoneme Duration Variability of Synthesized Training
  Data for Automatic Speech Recognition

On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition

12 October 2023
Nick Rossenbach
Benedikt Hilmes
Ralf Schluter
ArXivPDFHTML

Papers citing "On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition"

2 / 2 papers shown
Title
An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR
Sewade Ogun
Vincent Colotte
Emmanuel Vincent
64
0
0
11 Mar 2025
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
55
42
0
21 Oct 2021
1