See Solution Centre to learn how to perform speech audiometry (in noise).
Scoring can be done manually or using an adaptive algorithm. If speech audiometry is performed using an adaptive algorithm, the items (words or sentences) are presented at varying intensity levels. Each presentation level depends on the presentation level and the score of the previous item.
Typically, the first presentation level is high, and the next levels will go up and down to converge to the SRT. Typically, the step size between two successive presentation levels becomes smaller during the test execution.
This window shows the parameters of the selected adaptive algorithm.
New algorithms can be created, or existing algorithms can be changed.
The adaptive algorithms feature the following parameters:
|the signal level of the first item presented.|
the S/N Ratio of the first item presented. This is only used for speech in noise testing.
the score of which you seek the presentation level by which it is achieved; typically, this is set at 50%.
|if checked, all counting only starts when upon the first 'good' answer (good = above target)|
the step size between the initial and the second presentation level.
the lowest step size which will be used during the test execution.
the step size is calculated per step according to a formula (standard or T. Brand) which is further explained in the info window.
the stop criterion; the algorithm will stop after a fixed number of reversals or after a fixed number of test items being presented (‘trials’). A reversal is an event where the presentation level change of the next step is in the opposite direction as compared to the previous step.
the method to calculate the score; this can be the average SNR of a fixed number of reversals or a fixed number of trials.
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