554 citations · 779 across the 33 of their papers we have counts for
3 papers · 1 filter
An online sequence-to-sequence model for noisy speech recognition
Chung-Cheng Chiu, Dieterich Lawson, Yuping Luo +4
Generative models have long been the dominant approach for speech recognition. The success of these models however relies on the use of sophisticated recipes and complicated machin…
Learning Hard Alignments with Variational Inference
Dieterich Lawson, Chung-Cheng Chiu, George Tucker +3
There has recently been significant interest in hard attention models for tasks such as object recognition, visual captioning and speech recognition. Hard attention can offer benef…
Next-Step Conditioned Deep Convolutional Neural Networks Improve Protein Secondary Structure Prediction
Akosua Busia, Navdeep Jaitly
Recently developed deep learning techniques have significantly improved the accuracy of various speech and image recognition systems. In this paper we show how to adapt some of the…