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100 Things #33: Comparing Measured Data to a Target Curve

You can import any target curve into SoundCheck. This enables quick and easy comparison of your measured data to any reference data.

Comparing Measured Data to Target Curves in SoundCheck

More Target Curve Resources

To see an example of using Target Curves in SoundCheck, take a look at the work we’ve done with the Harman Target Curve. This page also links to the sequence that you can download to use with SoundCheck.

 

Video Script: Comparing Measured Data to Target Curves

Did you know that you can import any target curve in SoundCheck? This lets you compare your measured data to any reference data, fast and easy.

This functionality is simple to use – simply import the curve into the memory list and from there, use it in a sequence or drag and drop it onto any graph.

One of the simplest examples of this capability is to compare measured results to a golden unit.  All you have to do is  import the data from the golden unit into the memory list, then plot it on the same graph as the measured unit. You can use mathematical functions to statistically compare the curves, or you can use the curve offset by a fixed dB level, and use it as a limit.

Another example is live tuning. Matching a frequency response and sound pressure level is a common audio test, from measuring loudspeakers in a shop environment to tuning an automotive infotainment system. In these tests, you can compare RTA generated live curves to the imported target curve, and adjust the microphone location or manipulate the sound source in real time to match the target curve.

We also offer a more advanced application of target curves in a free test sequence that calculates a listener preference rating for headphones based on the Harman Target curve, developed by Sean Olive. This sequence measures the frequency response of your headphones and calculates an error curve, which is derived from subtracting the Harman Target Curve from an average of the headphone left/right response. The standard deviation, slope and average of the Error curve are used to calculate the predicted preference score.

So whether you are performing real-time measurements with live curves, setting limits based on golden units, or predicting listener preference of headphones, SoundCheck’s curve-importing capability makes your audio testing easier.