104 citations · 144 across the 8 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CL2018★ 2 cited
Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native English
Yan Yin, Ramon Prieto, Bin Wang +4
Recent research has shown that attention-based sequence-to-sequence models such as Listen, Attend, and Spell (LAS) yield comparable results to state-of-the-art ASR systems on vario…
cs.CL2018★ 6 cited
A Simple but Effective Classification Model for Grammatical Error Correction
Zhu Kaili, Chuan Wang, Ruobing Li +3
We treat grammatical error correction (GEC) as a classification problem in this study, where for different types of errors, a target word is identified, and the classifier predicts…
eess.AS2018★ 4 cited
Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units
Zhangyu Xiao, Zhijian Ou, Wei Chu +1
In this paper, we present an end-to-end automatic speech recognition system, which successfully employs subword units in a hybrid CTC-Attention based system. The subword units are…