应用VQ-HMM的汉语数码语音识别

提出了一种新的语音识别方法,该方法综合了VQ和离散HMM算法,在每个状态通过用矢量量化误差值取代传统的HMM输出概率值来建立VQ-HMM.介绍了VQ-HMM,并通过非特定人汉语数码语音识别实验对其识别性能与传统的HMM作了相应的比较.实验结果表明该方法识别效果优于传统的HMM.,In this paper, a new speech recognition method was proposed, which integrated a VQ-distortion measure and a discrete HMM. The VQ-HMM uses a VQ-distortion measure at each state instead of a discrete output probability used by a discrete HMM. The VQ-HMM is described, and its speech recognition performance is compared with the conventional HMMs through the experiments on speaker-independent Chinese spoken digit recognition. The comparisons confirm that the new method over-performed traditional HMMs.