摘要
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。
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.
