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RWEN-TTS: Relation-aware Word Encoding Network for Natural
  Text-to-Speech Synthesis

RWEN-TTS: Relation-aware Word Encoding Network for Natural Text-to-Speech Synthesis

15 December 2022
Shinhyeok Oh
HyeongRae Noh
Yoonseok Hong
Insoo Oh
ArXivPDFHTML

Papers citing "RWEN-TTS: Relation-aware Word Encoding Network for Natural Text-to-Speech Synthesis"

3 / 3 papers shown
Title
TTS-by-TTS 2: Data-selective augmentation for neural speech synthesis
  using ranking support vector machine with variational autoencoder
TTS-by-TTS 2: Data-selective augmentation for neural speech synthesis using ranking support vector machine with variational autoencoder
Eunwoo Song
Ryuichi Yamamoto
Ohsung Kwon
Chan Song
Min-Jae Hwang
Suhyeon Oh
Hyun-Wook Yoon
Jin-Seob Kim
Jae-Min Kim
35
7
0
30 Jun 2022
Stanza: A Python Natural Language Processing Toolkit for Many Human
  Languages
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi
Yuhao Zhang
Yuhui Zhang
Jason Bolton
Christopher D. Manning
AI4TS
199
1,653
0
16 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,950
0
20 Apr 2018
1