34 citations · 121 across the 23 of their papers we have counts for
6 papers · 1 filter
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…
Direct Speech-to-speech Translation without Textual Annotation using Bottleneck Features
Junhui Zhang, Junjie Pan, Xiang Yin +1
Speech-to-speech translation directly translates a speech utterance to another between different languages, and has great potential in tasks such as simultaneous interpretation. St…
A Novel Chinese Dialect TTS Frontend with Non-Autoregressive Neural Machine Translation
Junhui Zhang, Wudi Bao, Junjie Pan +2
Chinese dialects are different variations of Chinese and can be considered as different languages in the same language family with Mandarin. Though they all use Chinese characters,…
Improving Accent Conversion with Reference Encoder and End-To-End Text-To-Speech
Wenjie Li, Benlai Tang, Xiang Yin +6
Accent conversion (AC) transforms a non-native speaker's accent into a native accent while maintaining the speaker's voice timbre. In this paper, we propose approaches to improving…
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…
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…