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A novel text-dependent probabilistic spectral mapping method is presented for rapid speaker adaptation. The algorithm has been tested on the DARPA 1000-word resource management database with a grammar perplexity of 60. It results in significant better performance than the previous algorithms, and also provides recognition performance which is less than two times the word error rate for speaker-dependent training, using two minutes of adaptation speech.>
Feng et al. (2003) studied this question.