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Hello,
I hope you all had a great Xmas and New Year.
I am interested in applying the HTM to audio data for sleep studies.
We have a number of recordings for 'normal' sleep audio and 'abnormal'
recordings (sleep apnea).
First, we extracted the spectrogram from the training data. The spectrogram
had a 20 ms window size with 10 ms overlaps. The spectrogram was further
processed using PCA whitening (with 80 components) to reduce the
dimensionality.
Now, what i hope to do is pass the normal recordings into the HTM after
using swarming to get suitable params. Would it be possible to then pass
through the 'abnormal' signals without updating the model, would it detect
the anomalies?
Regards,
Daniel
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