20 citations · 92 across the 18 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CL2017★ 1 cited
Acoustic-To-Word Model Without OOV
Jinyu Li, Guoli Ye, Rui Zhao +2
Recently, the acoustic-to-word model based on the Connectionist Temporal Classification (CTC) criterion was shown as a natural end-to-end model directly targeting words as output u…
cs.CL2017★ 9 cited
Improved training for online end-to-end speech recognition systems
Suyoun Kim, Michael L. Seltzer, Jinyu Li +1
Achieving high accuracy with end-to-end speech recognizers requires careful parameter initialization prior to training. Otherwise, the networks may fail to find a good local optimu…
cs.CL2017★ 20 cited
Large-Scale Domain Adaptation via Teacher-Student Learning
Jinyu Li, Michael L. Seltzer, Xi Wang +2
High accuracy speech recognition requires a large amount of transcribed data for supervised training. In the absence of such data, domain adaptation of a well-trained acoustic mode…