2. Review of Map and Mllr Adap Tation Algorithms

In this paper, we considered two representative speaker adaptation (SA) approaches – MAP and MLLR techni -ques – for our Korean isolated word recognition task. In addition, we proposed a new speaker adaptation alg orithm to improve the performance of MAP technique. It is based on least squares method between MAP ada pted mean vectors and the corresponding SI mean vect ors. The results of our experiment using a CDHMM sy stem indicated that the proposed SA technique yielded high performance improvement in the recognition rate espe-cially when the number of adaptation data is very limited. Moreover, the computational load of proposed technique is much smaller than that of MLLR.