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This repository was archived by the owner on Feb 7, 2024. It is now read-only.
A very brief look at your toolbox indicates, that it might be possible to achieve a fractional octave smoothing of an magnitude spectrum with your toolbox. Is that true?
If so, would it be possible that you could provide a compact example visualizing that, without having to dive too deep into your toolbox for realizing it?! :)
What you describe would result in a singular power value per arbitrarily chosen fractional octave, right?
In that case it is not what I am looking for. I'm looking for a solution to continuously smooth the magnitude response, as described in http://www.aes.org/e-lib/browse.cfm?elib=12070.
I was looking for an existing Python implementation of the described (or an alternative) approach. Do you know any other place where I could look at?
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FRidh commentedon Feb 21, 2019
If I am correct, you mean integrating the magnitude spectrum into fractional octaves. Yes, that can be done.
The acoustics.signal.integrate_bands function can be used to integrate a power spectrum into fractional octaves. For the second argument you'll need an instance of acoustics.signal.EqualBand and for the third acoustics.signal.OctaveBand.
I can make an example but it will have to wait until the weekend.
HaHeho commentedon Mar 14, 2019
What you describe would result in a singular power value per arbitrarily chosen fractional octave, right?
In that case it is not what I am looking for. I'm looking for a solution to continuously smooth the magnitude response, as described in http://www.aes.org/e-lib/browse.cfm?elib=12070.
I was looking for an existing Python implementation of the described (or an alternative) approach. Do you know any other place where I could look at?