When finding the detection threshold, is it easier or faster in any of the cases? Is there a difference in the steepness of the psychometric curve? In my case, I am looking at how different conditions influence the detection accuracy. I'm flexible in the choice of method.
Thanks!
there two different methods which reveal two quite different abilities. detection of acoustic signals in the noise background can be used for professionals, distinguishing relevant signals (i.e telephone operators). But threshold is usually higher comparing with pure-tone audiometry.
By embedding a tone in noise, you can reduce (unnecessary) effects of external and internal noise. There is always external noise in your measurement environment, and it is difficult to completely remove it. There is always internal noise, coming from inside a listener. You can control them by adding noise of sufficient intensity. In theory, the slope of psychometric function become shallower when the nose is added, since the slope reflects the noise variance.
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