Understanding which information is encoded in deep models of spoken and
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Self-attention weights and their transformed variants have been the main...
Attempts to computationally simulate the acquisition of spoken language ...
We present the visually-grounded language modelling track that was intro...
The distributed and continuous representations used by neural networks a...
Speech directed to children differs from adult-directed speech in lingui...
Given the fast development of analysis techniques for NLP and speech
pro...
Recent work has highlighted the advantage of jointly learning grounded
s...
Analysis methods which enable us to better understand the representation...
The EMNLP 2018 workshop BlackboxNLP was dedicated to resources and techn...
Recent work has shown how to learn better visual-semantic embeddings by
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Hierarchical Multiscale LSTM (Chung et al., 2016a) is a state-of-the-art...
The bulk of research in the area of speech processing concerns itself wi...
We study the representation and encoding of phonemes in a recurrent neur...
We present a visually grounded model of speech perception which projects...
We present novel methods for analyzing the activation patterns of RNNs f...