Hi all,
Despite this not being directly related to scikit-learn, I hope to benefit
from the experience of machine learning developpers:
I'm currently studying an article on Variable Duration HMMs (VDHMMs), and I
am seeking advices on application data.
VDHMMs are HMMs in which a state can emit a serie of observations. It seems
that the main application to these chains are speech recognition, and
handwriting recognition: fields in which we are trying to determine a state
to poorly segmented data. Would anyone know other applications than those
two ? I'm looking for easy test data, in order to illustrate the advantages
of VDHMMs compared to HMMs.
Gael seemed to think that NLP could be a field using VDHMMs, but I can't
seem to find any paper on that.
Many thanks,
N
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