英语翻译ABSTRACTWe propose a new speech recognition method which

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英语翻译
ABSTRACT
We propose a new speech recognition method which
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 output probability
used by a discrete HMM.Although this method is regarded
as a refined version of the VQ-distribution based recognition
method proposed by Burton et al,it is also considered
as a special case of a mixtured distribution density HMM.
In this paper,we describe the relationship between the
VQ-distortion based HMM and conventional HMMs,and
compared their speech recognition performance through the
experiments on speaker-independent spoken digit recognition.
We obtained the recognition accuracy of 100% by using
this new method.

摘要
我们提出了一种新的语音识别方法
集成了VQ失真的措施和离散HMM.
这种基于VQ失真的HMM采用了VQ失真的措施
在每一个国家,而不是一个独立的输出概率
尽管此方法被认为使用离散HMM.
作为一个精致版本的基于VQ分布识别
Burton等人提出的方法,它也被认为
作为一个特殊的情况下,的一个mixtured分布密度HMM.
在本文中,我们描述之间的关系
基于VQ失真的HMM和传统的HMM模型,
他们的语音识别性能,通过比较
实验扬声器独立口语数字识别.
我们通过使用获得100％的识别精度
这种新方法.

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