I am quite new to programming and Python. I am working on a project in which I built an Auditory filterbank with two banks of Gammatone filters. Now I ended up with a 39x10x8545 matrix. I want to calculate the average of rms energy across the time axis (over the 8545) to reduce the dimensionality of the signal. Can anyone suggest me a better method to do it efficiently in Python because I cannot afford much memory due to the audio signal being very large. Thanks in advance.
The RMS of is signal is the root mean squared, which is not the same as the mean. So you need to perform the RMS calculation.
math.sqrt(numpy.mean(x*x))
There are several other pages on this site that discuss this in further: here, here, here