Using Statistics Across Multiple Signal Paths

Run advanced statistics directly in your sequences with SoundCheck 23! In this video, we’ll show you how to apply statistical analysis across multiple signal paths, like microphone arrays, using new offline statistics features. Learn how to calculate mean, median, deviation, best/worst fit, and more.

Additional Resources for SoundCheck

Detailed explanations of how to use SoundCheck can be found in the SoundCheck manual.

Video Transcript: Using Statistics Across Multiple Signal Paths

The offline statistics mode is a new option which allows statistical functions previously available only from the offline menu to be used in a sequence.

Today I’m going to show you  how to use SoundCheck’s advanced options to run statistics across multiple signal paths within a sequence. This is something new we added in SoundCheck 23, so if you’re using an older version, you’ll need to upgrade to use this feature.

Here I have a six microphone array, and I want to run statistics across all 6 mics.

Let’s take a look at the statistics step from my sequence here…

There’s a couple of new features in statistics.

You can now apply a search range to eliminate certain ranges from your statistical analysis. Let’s exclude the low frequency points that might be outside the range of the speaker… let’s just do that now… I’ll set it from 80Hz to 20k.

Another useful new feature is that you can now drag and drop curves and groups of curves from the memory list, so here, I’ll bring over the group of responses from my six microphones.

Now, if you are more familiar with our older versions, you’ll notice that I now have a new option,  “offline analysis” available right here in the step editor. This is all the statistics functionality that used to only be available offline in earlier versions, but now you can run it in a sequence. Let’s select this…Now you can see the median function appears on the statistics tab and the distribution tab is enabled, giving us access to the best fit and worst fit options and histogram output. You can also apply a custom name to your statistical data. We’ll have it run a full set of statistics including maximum, minimum and mean, standard deviation, median and best fit to average.

Offline statistics resets after each sequence run, so that rather than running across sequential sequence measurements. It will run across responses acquired from multiple signal paths, such as a microphone array.

I already dragged over the RTA responses for the six microphones, so l et’s run the sequence and see how it processes the data.

On the upper left we have the RTA spectrums from the six mic array. The bottom left is the maximum, minimum, and mean. 

Here on the upper right we have the plus and minus three sigma and median curves. And the bottom right are the best and worst fit to average curves. We can see that the best fit is the RTA spectrum from mic 4 and the worst fit is from mic 1.

Also remember that we applied a 80 to 20k search range to the analysis, to exclude the low frequency portions of the RTA curves that are outside the operating range of the speaker so they don’t influence the statistics results.

The statistics module is included in all SoundCheck configuration packages, so if you have SoundCheck 23, check it out!