The AMs in this procedure use (stacked) MFCC features and were trained using the Kaldi toolkit (Povey et al., 2011).
hence, more anchor segment data can be extracted as training material for the next AM which, in turn, will hopefully lead to an AM recognizing a larger amount of speech correctly.