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:

  • Initial Signal: 
the signal level of the first item presented.
  • Initial S/N Ratio:

the S/N Ratio of the first item presented. This is only used for speech in noise testing.

  • Target

the score of which you seek the presentation level by which it is achieved; typically, this is set at 50%.

  • Start Algorithm
if checked, all counting only starts when upon the first 'good' answer (good = above target)
  • Initial step size

the step size between the initial and the second presentation level.

  • Minimum step size

the lowest step size which will be used during the test execution.

  • Calculation of step size:

the step size is calculated per step according to a formula (standard or T. Brand) which is further explained in the info window.

  • Stop after: 

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.

  • Average of last

the method to calculate the score; this can be the average SNR of a fixed number of reversals or a fixed number of trials.

This feature is not available in the web viewer.