14.5k citations · 90.1k across the 347 of their papers we have counts for
9 papers · 2 filters
Improving speech recognition by revising gated recurrent units
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo +1
Speech recognition is largely taking advantage of deep learning, showing that substantial benefits can be obtained by modern Recurrent Neural Networks (RNNs). The most popular RNNs…
A Deep Reinforcement Learning Chatbot
Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain +15
We present MILABOT: a deep reinforcement learning chatbot developed by the Montreal Institute for Learning Algorithms (MILA) for the Amazon Alexa Prize competition. MILABOT is capa…
Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses
Ryan Lowe, Michael Noseworthy, Iulian V. Serban +3
Automatically evaluating the quality of dialogue responses for unstructured domains is a challenging problem. Unfortunately, existing automatic evaluation metrics are biased and co…
Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition
Taesup Kim, Inchul Song, Yoshua Bengio
Layer normalization is a recently introduced technique for normalizing the activities of neurons in deep neural networks to improve the training speed and stability. In this paper,…
Plan, Attend, Generate: Character-level Neural Machine Translation with Planning in the Decoder
Caglar Gulcehre, Francis Dutil, Adam Trischler +1
We investigate the integration of a planning mechanism into an encoder-decoder architecture with an explicit alignment for character-level machine translation. We develop a model t…
Batch-normalized joint training for DNN-based distant speech recognition
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo +1
Improving distant speech recognition is a crucial step towards flexible human-machine interfaces. Current technology, however, still exhibits a lack of robustness, especially when…