1 citations · 1 across the 4 of their papers we have counts for
4 papers
Improving Contextual Spelling Correction by External Acoustics Attention and Semantic Aware Data Augmentation
Xiaoqiang Wang, Yanqing Liu, Jinyu Li +1
We previously proposed contextual spelling correction (CSC) to correct the output of end-to-end (E2E) automatic speech recognition (ASR) models with contextual information such as…
RetrieverTTS: Modeling Decomposed Factors for Text-Based Speech Insertion
Dacheng Yin, Chuanxin Tang, Yanqing Liu +6
This paper proposes a new "decompose-and-edit" paradigm for the text-based speech insertion task that facilitates arbitrary-length speech insertion and even full sentence generatio…
Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems
Xiaoqiang Wang, Yanqing Liu, Jinyu Li +3
Contextual biasing is an important and challenging task for end-to-end automatic speech recognition (ASR) systems, which aims to achieve better recognition performance by biasing t…
A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems
Xiaoqiang Wang, Yanqing Liu, Sheng Zhao +1
It's challenging to customize transducer-based automatic speech recognition (ASR) system with context information which is dynamic and unavailable during model training. In this wo…