5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CL2022
Neural-FST Class Language Model for End-to-End Speech Recognition
Antoine Bruguier, Duc Le, Rohit Prabhavalkar +7
We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech recognition, a novel method that combines neural network language models (NNLMs) and finite state transduce…
stat.CO2017★ 5 cited
Mini-batch Tempered MCMC
Dangna Li, Wing H Wong
In this paper we propose a general framework of performing MCMC with only a mini-batch of data. We show by estimating the Metropolis-Hasting ratio with only a mini-batch of data, o…