2 papers
cs.CL2020
On the Role of Style in Parsing Speech with Neural Models
Trang Tran, Jiahong Yuan, Yang Liu +1
The differences in written text and conversational speech are substantial; previous parsers trained on treebanked text have given very poor results on spontaneous speech. For spoke…
cs.CL2018
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…