Example for cross_correlate function

[olivierfriard]

Hello,

I am doing some tests to migrate from praat script to parselmouth. May you give some example for using the croos_correlate function?

My praat script is (part of):

             Read from file... 'directory$'/'sound1$'
             Rename... 1

             Read from file... 'directory$'/'sound2$'
             Rename... 2

             select Sound 1
             plus Sound 2

             Cross-correlate... -0.20 0.20 yes
             ccvalue = Get maximum... 0 0 Sinc70

I wrote this in Python:

import parselmouth as pm
s1 = pm.Sound("sound1.wav")
s2 = pm.Sound("sound2.wav")
cc = s1.cross_correlate(s2)

Everything is going well but I do not know how to extract the cc value... Thank you Olivier

[YannickJadoul]

Unfortunately, I don't think that "Get maximum" function has been ported to the Python API yet. As far as I remember, there were some problems/design issues with units and/or interpolation to add this to the Sampled base class. But I should probably have a look at porting this in a future version.

However, until this issue can get solved, I would suggest using parselmouth.praat.call(cc, "Get maximum", 0, 0, "Sinc70"), which shóuld work and give you the same answer?

[YannickJadoul]

(I would advise against the other option, i.e. cc.values.max(), because this will only get you the maximum sample without interpolating, so this would be like choosing None as interpolation)

[olivierfriard]

Hi,

thank you. I will make some tests.

On Tue, May 29, 2018 at 6:53 PM, Yannick Jadoul notifications@github.com wrote:

(I would advise against the other option, i.e. cc.values.max(), because this will only get you the maximum sample without interpolating, so this would be like choosing None as interpolation)

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[YannickJadoul]

Thanks; do let me know when it doesn't work as intended. By the way: I still need to put an example together and add it to ReadTheDocs, but if you have larger existing Praat scripts, you can also use parselmouth.praat.run and parselmouth.praat.run_file