184 citations · 195 across the 8 of their papers we have counts for
Showing 2016 · cs.CLShow all
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cs.CL2016
NN-grams: Unifying neural network and n-gram language models for Speech Recognition
Babak Damavandi, Shankar Kumar, Noam Shazeer +1
We present NN-grams, a novel, hybrid language model integrating n-grams and neural networks (NN) for speech recognition. The model takes as input both word histories as well as n-g…
cs.CL2016
On the Compression of Recurrent Neural Networks with an Application to LVCSR acoustic modeling for Embedded Speech Recognition
Rohit Prabhavalkar, Ouais Alsharif, Antoine Bruguier +1
We study the problem of compressing recurrent neural networks (RNNs). In particular, we focus on the compression of RNN acoustic models, which are motivated by the goal of building…