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Inaugural and public lectures from 2007/08

In today's digital world, how can we understand the vast quantities of data that surround us? 

In this talk Prof. Nabney shows how machine learning can be used to uncover the hidden meanings of data and provide users with the information they need in a form that they can use.  

It is fairly uncommon in everyday life for us to hear a single source of sound in the absence of other sounds.

For example, when we listen to the speech of a particular person during a conversation, their speech is often accompanied by the speech of other people and a host of background sounds. Indeed, these other sounds may temporarily mask the particular sound source to which we are paying attention. Therefore, our auditory system is often faced with the challenge of grouping together those sound elements that come from one source, separating them from those arising from other sources, and reconstructing missing information about the source we are trying to attend.