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Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks
We investigate segmenting and clustering speech into low-bitrate phone-l...
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Towards localisation of keywords in speech using weak supervision
Developments in weakly supervised and self-supervised models could enabl...
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Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge
In this paper, we explore vector quantization for acoustic unit discover...
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Online Constrained Model-based Reinforcement Learning
Applying reinforcement learning to robotic systems poses a number of cha...
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If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks
Recent work in signal propagation theory has shown that dropout limits t...
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Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks
For our submission to the ZeroSpeech 2019 challenge, we apply discrete l...
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Will it Blend? Composing Value Functions in Reinforcement Learning
An important property for lifelong-learning agents is the ability to com...
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Benjamin van Niekerk
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