Efficient adaptation text design based on the Kullback-Leibler measure

This paper proposes an efficient algorithm for the automatic selection of sentences given a desired phoneme distribution. The algorithm is based on the Kullback-Leiblermeasure under the criterion of minimum cross-entropy. One application of this algorithm is the design of adaptation text for automatic speech recognition with a particular phoneme distribution. The algorithm is efficient and flexible, especially in the case of limited text size. Experimental results verify the advantage of this approach.