Abstract: To improve tone recognition accuracy，discriminative training in both feature and model parameters for hidden Markov model based tone modeling is proposed.When incorporating tone models into continuous speech recognition，discriminative model weight training is presented.Acoustic and tone model distributions are scaled by model dependent weights trained by the minimum phone error criterion.Experiments show tone recognition and large vocabulary continuous speech recognition accuracy can be considerably improved by the proposed methods.