Jointly Learning to Align and Convert Graphemes to Phonemes with Neural Attention Models

20 October 2016

Papers citing "Jointly Learning to Align and Convert Graphemes to Phonemes with Neural Attention Models"

7 / 7 papers shown

Title
A unified front-end framework for English text-to-speech synthesis Zelin Ying Chen Li Yuming Dong Qiuqiang Kong Yuping Wang Yuanyuan Huo Yuxuan Wang 34 4 0 18 May 2023
DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction R. Anantha Kriti Bhasin Daniela Aguilar Prabal Vashisht Becci Williamson Srinivas Chappidi 29 0 0 01 Mar 2023
Helpful Neighbors: Leveraging Neighbors in Geographic Feature Pronunciation Llion Jones R. Sproat Haruko Ishikawa Alexander Gutkin 32 1 0 18 Oct 2022
ByT5 model for massively multilingual grapheme-to-phoneme conversion Jian Zhu Cong Zhang David Jurgens 21 37 0 06 Apr 2022
Neural Grapheme-to-Phoneme Conversion with Pre-trained Grapheme Models Lu Dong Zhiyuan Guo Chao-Hong Tan Ya-Jun Hu Yuan Jiang Zhenhua Ling 38 11 0 26 Jan 2022
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 220 7,930 0 17 Aug 2015
Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion Kaisheng Yao Geoffrey Zweig 56 163 0 31 May 2015