An Inhomogeneous HMIM Speech Recognition Algorithm

【摘要】：正The homogeneous Hidden Markov Model (HMM) (or automatic speech recognition has been widely used today. But some significant defects of this method limit its performance and praclical applications. One of these defects is that the stability of duration distribution of the speech states which is verified by experiments[1] is not correctly considered in the model In this paper, a duration distribution based inhomogoneous. HMM(DDBHMM) recognition algorithm is introduced. A speaker-independent isolated-word Chinese speech recognition experiment is done and shows that DDBHMM reduces the error rale by about 20%.