477 citations · 1.1k across the 39 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CL2017★ 6 cited
Towards Language-Universal End-to-End Speech Recognition
Suyoun Kim, Michael L. Seltzer
Building speech recognizers in multiple languages typically involves replicating a monolingual training recipe for each language, or utilizing a multi-task learning approach where…
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…