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cs.CL2022
Fast and accurate factorized neural transducer for text adaption of end-to-end speech recognition models
Rui Zhao, Jian Xue, Partha Parthasarathy +2
Neural transducer is now the most popular end-to-end model for speech recognition, due to its naturally streaming ability. However, it is challenging to adapt it with text-only dat…
cs.CL2022
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…