The second strategy relies on directly training a ranking model from a set of instances where S i and T j i respectively represent segments and transcriptions, and T R j i represents "true ranks" computed from the corresponding reference WER values T W j i .
given two transcriptions, T j i and T k i and the true WERs, then It is worth to note that MLR, differently from the two regression methods described above, performs a pairwise comparison between the segment candidates.