Hi all,

I have been semi-successful with learning sequences and recognising noisy 
versions of them using NuPIC. 

But now I am curious about something else. What if the noise is not in the 
sequence values (i.e. [1, 3, 4] plus noise becomes [1.1, 2.9, 4.05]) but in the 
'time domain' (i.e. [1, 1, 2, 2, 5, 5, 5] plus noise becomes [1, 1, 1, 2, 5, 
5]) meaning where the transitions between sequence values are the same but the 
'time' spend in one sequence state varies? 

This happens, for example, when we speak: we we spend different amounts of time 
in different parts of a word depending on the speed of our speech. Does the TP 
deal with this? How can I see if NuPIC can deal with this sort of problem and 
if so, how well?

Regards,
Manuel
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