Contribution from the accuracy of phoneme recognition to the quality of automatic recognition of Russian speech

被引：2
|
作者：
Karpukhin I.A. [1 ]
机构：
[1] Department of Computational Mathematics and Cybernetics, Moscow State University, Moscow
来源：
Moscow University Computational Mathematics and Cybernetics | 2016年 / 40卷 / 2期
关键词：
acoustic modeling; Automatic speech recognition;
D O I：
10.3103/S0278641916020060
中图分类号：
学科分类号：
摘要：
The dependence of the quality of automatic recognition of Russian speech on the accuracy of feature descriptions and their distribution model is considered. A list of eight phonemes is given whose accuracy of recognition makes the greatest contribution to the quality of speech recognition. © 2016, Allerton Press, Inc.
引用
收藏
页码：89 / 95
页数：6
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