基于VQ与HMM相结合的汉语数字语音识别

提出了一种新的语音识别方法,它结合了VQ-误差和离散HMM两种方法,用VQ-误差全面替代了在离散HMM中运用的离散输出.这种方法被看作是由Burton等人提出识别方法的VQ-误差的一种改进型,但也被认为是混合的分散密度HMM的一种特殊情况.文中不仅描述了基于HMM的VQ-误差,并且通过实验,在语音识别性能方面将之与传统的HMM方法进行了比较,证实其优于传统的HMM方法.

RECOGNITION OF SPOKEN CHINESE DIGIT BASED ON INTEGRATION OF VQ AND HMM

A new speech recognition method is proposed, that integrates a VQ-distortion measure and a discrete HMM. This VQ-distortion based HMM uses a VQ-distortion measure at each state instead of a discrete probability output used by a discrete HMM. Although this method is regarded as a refined version of the VQ-distortion based recognition method proposed by Burton et al, it is also considered as a special case of a mixed distribution density HMM.In this paper, the VQ-distortion based HMM is described, and it is compared with the conventional HMMs and their speech recognition performance through the experiments on speaker-independent spoken digit recognition. From these comparisons, we confirm that the new method is better than the traditional HMMs.