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Quantifying Spectro-temporal Complexity
- To: AUDITORY@xxxxxxxxxxxxxxx
- Subject: Quantifying Spectro-temporal Complexity
- From: Nikolas Alejandro Francis <nfu@xxxxxxx>
- Date: Wed, 27 Jul 2005 21:40:38 -0400
- Delivery-date: Wed Jul 27 21:47:03 2005
- Reply-to: Nikolas Alejandro Francis <nfu@xxxxxxx>
- Sender: AUDITORY Research in Auditory Perception <AUDITORY@xxxxxxxxxxxxxxx>
- User-agent: Internet Messaging Program (IMP) H3 (4.0.3)
I just joined this list and look forward to participating in new discussions.
My question is if anyone is aware of a method for quantifying the
spectro-temporal complexity of a set of sounds. In the past I've moved a
sliding window independently across time and frequency from 0 to the length of
the sound and up to 22khz. For each window I found the standard deviation (SD)
from the mean value within that window, and then averaged all of the SDs for
all frequency and time windows, independently. For each sound, I found the
mean of all the SDs for frequency and time, resulting in a spectral complexity
value and a temporal complexity value. Finally I found the mean of these two
values for an overall spectro-temporal complexity value.
Does this sound sufficient? Thanks.