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Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by
  Leveraging External Textual Knowledge

Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge

19 October 2021
Mutian He
Jingzhou Yang
Lei He
Frank Soong
ArXivPDFHTML

Papers citing "Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge"

3 / 3 papers shown
Title
Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for
  Text-to-Speech
Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-to-Speech
Ziyue Jiang
Zhe Su
Zhou Zhao
Qian Yang
Yi Ren
Jinglin Liu
Zhe Ye
24
4
0
05 Jun 2022
Polyphone disambiguation and accent prediction using pre-trained
  language models in Japanese TTS front-end
Polyphone disambiguation and accent prediction using pre-trained language models in Japanese TTS front-end
Rem Hida
Masaki Hamada
Chie Kamada
E. Tsunoo
Toshiyuki Sekiya
Toshiyuki Kumakura
21
5
0
24 Jan 2022
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
417
2,588
0
03 Sep 2019
1