• Input-Output parameters and their descriptions/specifications are provided in each function file

• semi_supervised_find.m is a function file to spot a speaker

• semi_supervised_re_iter.m is a function file to re-iterate the speaker spotting process

• error_calc_new.m calculates error estimates

• model_update.m updates the speaker models using frames of data provided

• Run demo.m, user needs to input values for variables 'chosen_start' and 'chosen_end'. Program displays error
  estimate parameters (true-positive, false positive and false negative) values at the end of every iteration of speaker spotting process along with label of the speaker being spotted.