g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset

7 April 2020

Papers citing "g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset"

6 / 6 papers shown

Title
Back-Translation-Style Data Augmentation for Mandarin Chinese Polyphone Disambiguation Chunyu Qiang Peng Yang Hao Che Jinba Xiao Xiaorui Wang Zhongyuan Wang 13 3 0 17 Nov 2022
Helpful Neighbors: Leveraging Neighbors in Geographic Feature Pronunciation Llion Jones R. Sproat Haruko Ishikawa Alexander Gutkin 19 1 0 18 Oct 2022
ByT5 model for massively multilingual grapheme-to-phoneme conversion Jian Zhu Cong Zhang David Jurgens 11 36 0 06 Apr 2022
g2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation in Mandarin Yi-Chang Chen Yu-Chuan Chang Yenling Chang Yi-Ren Yeh 21 13 0 20 Mar 2022
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation Kaustubh D. Dhole Varun Gangal Sebastian Gehrmann Aadesh Gupta Zhenhao Li ... Tianbao Xie Usama Yaseen Michael A. Yee Jing Zhang Yue Zhang 174 86 0 06 Dec 2021
A Survey on Neural Speech Synthesis Xu Tan Tao Qin Frank Soong Tie-Yan Liu AI4TS 18 352 0 29 Jun 2021