2 citations · 2 across the 4 of their papers we have counts for
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cs.CL2023
LiteG2P: A fast, light and high accuracy model for grapheme-to-phoneme conversion
Chunfeng Wang, Peisong Huang, Yuxiang Zou +4
As a key component of automated speech recognition (ASR) and the front-end in text-to-speech (TTS), grapheme-to-phoneme (G2P) plays the role of converting letters to their correspo…
cs.CL2019★ 2 cited
A unified sequence-to-sequence front-end model for Mandarin text-to-speech synthesis
Junjie Pan, Xiang Yin, Zhiling Zhang +4
In Mandarin text-to-speech (TTS) system, the front-end text processing module significantly influences the intelligibility and naturalness of synthesized speech. Building a typical…
cs.CL2019
A hybrid text normalization system using multi-head self-attention for mandarin
Junhui Zhang, Junjie Pan, Xiang Yin +5
In this paper, we propose a hybrid text normalization system using multi-head self-attention. The system combines the advantages of a rule-based model and a neural model for text p…