Model compensation techniques for noise-robust speech recognition approximate the corrupted speech distribution. This paper introduces a sampling method that, given speech and noi...
In light of the serious problems with both illiteracy and information access in the developing world, there is a widespread belief that speech technology can play a significant ro...
Etienne Barnard, Johan Schalkwyk, Charl Johannes v...
In this paper we investigate a computational model of word learning that is cognitively plausible. The model is partly trained on incorrect form-referent pairings, modelling the i...
The paper presents an in-depth analysis of a less known interaction between Kneser-Ney smoothing and entropy pruning that leads to severe degradation in language model performance...
Ciprian Chelba, Thorsten Brants, Will Neveitt, Pen...
The emergence of highly parallel computing platforms is enabling new trade-offs in algorithm design for automatic speech recognition. It naturally motivates the following investig...
Jike Chong, Ekaterina Gonina, Kisun You, Kurt Keut...