high_start = mid_start + int(sample_count * mid)
         noise_ceiling = high_start + int(sample_count * high)
 
         high_start = mid_start + int(sample_count * mid)
         noise_ceiling = high_start + int(sample_count * high)
 
         amp_mid = numpy.mean(magnitude[mid_start:high_start])
         amp_high = numpy.mean(magnitude[high_start:noise_ceiling])
         amp_total = (low + mid + high) / 3.0
         amp_mid = numpy.mean(magnitude[mid_start:high_start])
         amp_high = numpy.mean(magnitude[high_start:noise_ceiling])
         amp_total = (low + mid + high) / 3.0